HanSolo9682 commited on
Commit
b894216
·
verified ·
1 Parent(s): 8ba7e27

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
added_tokens.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</think>": 151668,
3
+ "</tool_call>": 151658,
4
+ "</tool_response>": 151666,
5
+ "<emb>": 151669,
6
+ "<think>": 151667,
7
+ "<tool_call>": 151657,
8
+ "<tool_response>": 151665,
9
+ "<|box_end|>": 151649,
10
+ "<|box_start|>": 151648,
11
+ "<|endoftext|>": 151643,
12
+ "<|file_sep|>": 151664,
13
+ "<|fim_middle|>": 151660,
14
+ "<|fim_pad|>": 151662,
15
+ "<|fim_prefix|>": 151659,
16
+ "<|fim_suffix|>": 151661,
17
+ "<|im_end|>": 151645,
18
+ "<|im_start|>": 151644,
19
+ "<|image_pad|>": 151655,
20
+ "<|object_ref_end|>": 151647,
21
+ "<|object_ref_start|>": 151646,
22
+ "<|quad_end|>": 151651,
23
+ "<|quad_start|>": 151650,
24
+ "<|repo_name|>": 151663,
25
+ "<|video_pad|>": 151656,
26
+ "<|vision_end|>": 151653,
27
+ "<|vision_pad|>": 151654,
28
+ "<|vision_start|>": 151652
29
+ }
arguments/data.yaml ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ assistant_key: gpt
2
+ cand_pool_path: /Data2/harrisz/colpali_extracted_data/cand_pool.jsonl
3
+ colpali_path: null
4
+ colpali_path_prefix: null
5
+ data_path: null
6
+ eval_data_path: null
7
+ image_data_path: null
8
+ image_folder: null
9
+ image_path_prefix: /Data2/harrisz/colpali_extracted_data/images/
10
+ instructions_path: /Data2/anirudh/M-BEIR/instructions/query_instructions.tsv
11
+ num_frames: 8
12
+ query_data_path: /Data2/harrisz/colpali_extracted_data/query.jsonl
13
+ rerank_data_path: null
14
+ text_data_path: null
15
+ user_key: human
16
+ video_folder: null
arguments/lora.yaml ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ lora_alpha: 256
2
+ lora_bias: none
3
+ lora_dropout: 0.05
4
+ lora_r: 128
5
+ lora_weight_path: ''
6
+ q_lora: false
7
+ use_lora: true
8
+ use_vision_lora: false
9
+ vision_lora_alpha: 16
10
+ vision_lora_r: 16
arguments/model.yaml ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ model_id: qwen3-vl-2b
2
+ model_local_path: ./checkpoints/qwen3-vl-2b_visdoc_baseline
3
+ use_doc_attention: false
4
+ use_full_attention: false
5
+ use_multilayer_features: false
6
+ use_up_attention: false
arguments/training.yaml ADDED
@@ -0,0 +1,162 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ _n_gpu: 1
2
+ accelerator_config:
3
+ dispatch_batches: null
4
+ even_batches: true
5
+ gradient_accumulation_kwargs: null
6
+ non_blocking: false
7
+ split_batches: false
8
+ use_configured_state: false
9
+ use_seedable_sampler: true
10
+ adafactor: false
11
+ adam_beta1: 0.9
12
+ adam_beta2: 0.999
13
+ adam_epsilon: 1.0e-08
14
+ auto_find_batch_size: false
15
+ average_tokens_across_devices: true
16
+ batch_eval_metrics: false
17
+ bf16: true
18
+ bf16_full_eval: false
19
+ data_seed: null
20
+ dataloader_drop_last: false
21
+ dataloader_num_workers: 0
22
+ dataloader_persistent_workers: false
23
+ dataloader_pin_memory: true
24
+ dataloader_prefetch_factor: null
25
+ ddp_backend: null
26
+ ddp_broadcast_buffers: null
27
+ ddp_bucket_cap_mb: null
28
+ ddp_find_unused_parameters: null
29
+ ddp_timeout: 1800
30
+ debug: []
31
+ deepspeed: ./ds_configs/zero2.json
32
+ disable_tqdm: false
33
+ do_eval: true
34
+ do_predict: false
35
+ do_train: false
36
+ eval_accumulation_steps: null
37
+ eval_delay: 0
38
+ eval_do_concat_batches: true
39
+ eval_on_start: false
40
+ eval_steps: null
41
+ eval_strategy: !!python/object/apply:transformers.trainer_utils.IntervalStrategy
42
+ - epoch
43
+ eval_use_gather_object: false
44
+ fp16: false
45
+ fp16_backend: auto
46
+ fp16_full_eval: false
47
+ fp16_opt_level: O1
48
+ freeze_backbone: false
49
+ freeze_only_attn: false
50
+ fsdp: []
51
+ fsdp_config:
52
+ min_num_params: 0
53
+ xla: false
54
+ xla_fsdp_grad_ckpt: false
55
+ xla_fsdp_v2: false
56
+ fsdp_min_num_params: 0
57
+ fsdp_transformer_layer_cls_to_wrap: null
58
+ full_determinism: false
59
+ gradient_accumulation_steps: 1
60
+ gradient_checkpointing: true
61
+ gradient_checkpointing_kwargs: null
62
+ greater_is_better: null
63
+ group_by_length: false
64
+ half_precision_backend: auto
65
+ hub_always_push: false
66
+ hub_model_id: null
67
+ hub_private_repo: null
68
+ hub_revision: null
69
+ hub_strategy: !!python/object/apply:transformers.trainer_utils.HubStrategy
70
+ - every_save
71
+ hub_token: null
72
+ ignore_data_skip: false
73
+ include_for_metrics: []
74
+ include_inputs_for_metrics: false
75
+ include_num_input_tokens_seen: 'no'
76
+ include_tokens_per_second: false
77
+ jit_mode_eval: false
78
+ label_names: null
79
+ label_smoothing_factor: 0.0
80
+ learning_rate: 0.0001
81
+ length_column_name: length
82
+ liger_kernel_config: null
83
+ load_best_model_at_end: false
84
+ local_rank: 0
85
+ log_level: passive
86
+ log_level_replica: warning
87
+ log_on_each_node: true
88
+ logging_dir: ./checkpoints/qwen3-vl-2b_visdoc_baseline_convert_1e-4/runs/May07_05-47-51_crossnode2
89
+ logging_first_step: false
90
+ logging_nan_inf_filter: true
91
+ logging_steps: 1.0
92
+ logging_strategy: !!python/object/apply:transformers.trainer_utils.IntervalStrategy
93
+ - steps
94
+ lr_scheduler_kwargs: {}
95
+ lr_scheduler_type: !!python/object/apply:transformers.trainer_utils.SchedulerType
96
+ - cosine
97
+ max_grad_norm: 1.0
98
+ max_steps: -1
99
+ metric_for_best_model: null
100
+ model_max_length: 1024
101
+ mp_parameters: ''
102
+ neftune_noise_alpha: null
103
+ no_cuda: false
104
+ num_train_epochs: 1.0
105
+ optim: !!python/object/apply:transformers.training_args.OptimizerNames
106
+ - adamw_torch_fused
107
+ optim_args: null
108
+ optim_target_modules: null
109
+ output_dir: ./checkpoints/qwen3-vl-2b_visdoc_baseline_convert_1e-4
110
+ overwrite_output_dir: false
111
+ parallelism_config: null
112
+ past_index: -1
113
+ per_device_eval_batch_size: 64
114
+ per_device_train_batch_size: 64
115
+ per_gpu_eval_batch_size: null
116
+ per_gpu_train_batch_size: null
117
+ prediction_loss_only: false
118
+ project: huggingface
119
+ push_to_hub: false
120
+ push_to_hub_model_id: null
121
+ push_to_hub_organization: null
122
+ push_to_hub_token: null
123
+ ray_scope: last
124
+ remove_unused_columns: false
125
+ replace_embed_layers: false
126
+ report_to:
127
+ - wandb
128
+ restore_callback_states_from_checkpoint: false
129
+ resume_from_checkpoint: null
130
+ run_name: qwen3-vl-2b_visdoc_baseline_convert_1e-4
131
+ save_on_each_node: false
132
+ save_only_model: false
133
+ save_safetensors: true
134
+ save_steps: 116
135
+ save_strategy: !!python/object/apply:transformers.trainer_utils.SaveStrategy
136
+ - steps
137
+ save_total_limit: 1000
138
+ seed: 42
139
+ skip_memory_metrics: true
140
+ starting_layer: null
141
+ tf32: true
142
+ torch_compile: false
143
+ torch_compile_backend: null
144
+ torch_compile_mode: null
145
+ torch_empty_cache_steps: null
146
+ torchdynamo: null
147
+ tpu_metrics_debug: false
148
+ tpu_num_cores: null
149
+ trackio_space_id: trackio
150
+ train_vision_encoder: false
151
+ train_vision_projector: false
152
+ use_cpu: false
153
+ use_flash_attn: false
154
+ use_hard_negatives: false
155
+ use_legacy_prediction_loop: false
156
+ use_liger_kernel: false
157
+ use_mps_device: false
158
+ use_steer_layers: false
159
+ vision_projector_lr: null
160
+ warmup_ratio: 0.03
161
+ warmup_steps: 0
162
+ weight_decay: 0.0
chat_template.jinja ADDED
@@ -0,0 +1,120 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0].role == 'system' %}
4
+ {%- if messages[0].content is string %}
5
+ {{- messages[0].content }}
6
+ {%- else %}
7
+ {%- for content in messages[0].content %}
8
+ {%- if 'text' in content %}
9
+ {{- content.text }}
10
+ {%- endif %}
11
+ {%- endfor %}
12
+ {%- endif %}
13
+ {{- '\n\n' }}
14
+ {%- endif %}
15
+ {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
16
+ {%- for tool in tools %}
17
+ {{- "\n" }}
18
+ {{- tool | tojson }}
19
+ {%- endfor %}
20
+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
21
+ {%- else %}
22
+ {%- if messages[0].role == 'system' %}
23
+ {{- '<|im_start|>system\n' }}
24
+ {%- if messages[0].content is string %}
25
+ {{- messages[0].content }}
26
+ {%- else %}
27
+ {%- for content in messages[0].content %}
28
+ {%- if 'text' in content %}
29
+ {{- content.text }}
30
+ {%- endif %}
31
+ {%- endfor %}
32
+ {%- endif %}
33
+ {{- '<|im_end|>\n' }}
34
+ {%- endif %}
35
+ {%- endif %}
36
+ {%- set image_count = namespace(value=0) %}
37
+ {%- set video_count = namespace(value=0) %}
38
+ {%- for message in messages %}
39
+ {%- if message.role == "user" %}
40
+ {{- '<|im_start|>' + message.role + '\n' }}
41
+ {%- if message.content is string %}
42
+ {{- message.content }}
43
+ {%- else %}
44
+ {%- for content in message.content %}
45
+ {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
46
+ {%- set image_count.value = image_count.value + 1 %}
47
+ {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
48
+ <|vision_start|><|image_pad|><|vision_end|>
49
+ {%- elif content.type == 'video' or 'video' in content %}
50
+ {%- set video_count.value = video_count.value + 1 %}
51
+ {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
52
+ <|vision_start|><|video_pad|><|vision_end|>
53
+ {%- elif 'text' in content %}
54
+ {{- content.text }}
55
+ {%- endif %}
56
+ {%- endfor %}
57
+ {%- endif %}
58
+ {{- '<|im_end|>\n' }}
59
+ {%- elif message.role == "assistant" %}
60
+ {{- '<|im_start|>' + message.role + '\n' }}
61
+ {%- if message.content is string %}
62
+ {{- message.content }}
63
+ {%- else %}
64
+ {%- for content_item in message.content %}
65
+ {%- if 'text' in content_item %}
66
+ {{- content_item.text }}
67
+ {%- endif %}
68
+ {%- endfor %}
69
+ {%- endif %}
70
+ {%- if message.tool_calls %}
71
+ {%- for tool_call in message.tool_calls %}
72
+ {%- if (loop.first and message.content) or (not loop.first) %}
73
+ {{- '\n' }}
74
+ {%- endif %}
75
+ {%- if tool_call.function %}
76
+ {%- set tool_call = tool_call.function %}
77
+ {%- endif %}
78
+ {{- '<tool_call>\n{"name": "' }}
79
+ {{- tool_call.name }}
80
+ {{- '", "arguments": ' }}
81
+ {%- if tool_call.arguments is string %}
82
+ {{- tool_call.arguments }}
83
+ {%- else %}
84
+ {{- tool_call.arguments | tojson }}
85
+ {%- endif %}
86
+ {{- '}\n</tool_call>' }}
87
+ {%- endfor %}
88
+ {%- endif %}
89
+ {{- '<|im_end|>\n' }}
90
+ {%- elif message.role == "tool" %}
91
+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
92
+ {{- '<|im_start|>user' }}
93
+ {%- endif %}
94
+ {{- '\n<tool_response>\n' }}
95
+ {%- if message.content is string %}
96
+ {{- message.content }}
97
+ {%- else %}
98
+ {%- for content in message.content %}
99
+ {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
100
+ {%- set image_count.value = image_count.value + 1 %}
101
+ {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
102
+ <|vision_start|><|image_pad|><|vision_end|>
103
+ {%- elif content.type == 'video' or 'video' in content %}
104
+ {%- set video_count.value = video_count.value + 1 %}
105
+ {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
106
+ <|vision_start|><|video_pad|><|vision_end|>
107
+ {%- elif 'text' in content %}
108
+ {{- content.text }}
109
+ {%- endif %}
110
+ {%- endfor %}
111
+ {%- endif %}
112
+ {{- '\n</tool_response>' }}
113
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
114
+ {{- '<|im_end|>\n' }}
115
+ {%- endif %}
116
+ {%- endif %}
117
+ {%- endfor %}
118
+ {%- if add_generation_prompt %}
119
+ {{- '<|im_start|>assistant\n' }}
120
+ {%- endif %}
config.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3VLRetFinetuneForConditionalGeneration"
4
+ ],
5
+ "dtype": "bfloat16",
6
+ "emb_token_ids": [
7
+ 151669
8
+ ],
9
+ "image_token_id": 151655,
10
+ "model_type": "qwen3_vl",
11
+ "text_config": {
12
+ "attention_bias": false,
13
+ "attention_dropout": 0.0,
14
+ "bos_token_id": 151643,
15
+ "dtype": "bfloat16",
16
+ "eos_token_id": 151645,
17
+ "head_dim": 128,
18
+ "hidden_act": "silu",
19
+ "hidden_size": 2048,
20
+ "initializer_range": 0.02,
21
+ "intermediate_size": 6144,
22
+ "max_position_embeddings": 262144,
23
+ "model_type": "qwen3_vl_text",
24
+ "num_attention_heads": 16,
25
+ "num_hidden_layers": 28,
26
+ "num_key_value_heads": 8,
27
+ "rms_norm_eps": 1e-06,
28
+ "rope_scaling": {
29
+ "mrope_interleaved": true,
30
+ "mrope_section": [
31
+ 24,
32
+ 20,
33
+ 20
34
+ ],
35
+ "rope_type": "default"
36
+ },
37
+ "rope_theta": 5000000,
38
+ "tie_word_embeddings": true,
39
+ "use_cache": true,
40
+ "vocab_size": 151670
41
+ },
42
+ "tie_word_embeddings": true,
43
+ "transformers_version": "4.57.0",
44
+ "video_token_id": 151656,
45
+ "vision_config": {
46
+ "deepstack_visual_indexes": [
47
+ 5,
48
+ 11,
49
+ 17
50
+ ],
51
+ "depth": 24,
52
+ "dtype": "bfloat16",
53
+ "hidden_act": "gelu_pytorch_tanh",
54
+ "hidden_size": 1024,
55
+ "in_channels": 3,
56
+ "initializer_range": 0.02,
57
+ "intermediate_size": 4096,
58
+ "model_type": "qwen3_vl",
59
+ "num_heads": 16,
60
+ "num_position_embeddings": 2304,
61
+ "out_hidden_size": 2048,
62
+ "patch_size": 16,
63
+ "spatial_merge_size": 2,
64
+ "temporal_patch_size": 2
65
+ },
66
+ "vision_end_token_id": 151653,
67
+ "vision_start_token_id": 151652
68
+ }
generation_config.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "embed_dim": 1536,
5
+ "eos_token_id": [
6
+ 151645,
7
+ 151643
8
+ ],
9
+ "pad_token_id": 151643,
10
+ "temperature": 0.7,
11
+ "top_k": 20,
12
+ "top_p": 0.8,
13
+ "transformers_version": "4.57.0",
14
+ "use_doc_attention": false,
15
+ "use_full_attention": false,
16
+ "use_up_attention": false
17
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f537b82950ce0e055837e3cb6779be8cd04df5810510a5cbb19b3a104c86b898
3
+ size 4254050776
preprocessor_config.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crop_size": null,
3
+ "data_format": "channels_first",
4
+ "default_to_square": true,
5
+ "device": null,
6
+ "disable_grouping": null,
7
+ "do_center_crop": null,
8
+ "do_convert_rgb": true,
9
+ "do_normalize": true,
10
+ "do_pad": null,
11
+ "do_rescale": true,
12
+ "do_resize": true,
13
+ "image_mean": [
14
+ 0.5,
15
+ 0.5,
16
+ 0.5
17
+ ],
18
+ "image_processor_type": "Qwen2VLImageProcessorFast",
19
+ "image_std": [
20
+ 0.5,
21
+ 0.5,
22
+ 0.5
23
+ ],
24
+ "input_data_format": null,
25
+ "max_pixels": 802816,
26
+ "merge_size": 2,
27
+ "min_pixels": 200704,
28
+ "pad_size": null,
29
+ "patch_size": 16,
30
+ "processor_class": "Qwen3VLProcessor",
31
+ "resample": 3,
32
+ "rescale_factor": 0.00392156862745098,
33
+ "return_tensors": null,
34
+ "size": {
35
+ "longest_edge": 16777216,
36
+ "shortest_edge": 65536
37
+ },
38
+ "temporal_patch_size": 2
39
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ac3eca01a088bd8011192c34ef1b0b3230f5096ae58366c8bd7be290fc452221
3
+ size 11423017
tokenizer_config.json ADDED
@@ -0,0 +1,250 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "151665": {
182
+ "content": "<tool_response>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "151666": {
190
+ "content": "</tool_response>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "151667": {
198
+ "content": "<think>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "151668": {
206
+ "content": "</think>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ },
213
+ "151669": {
214
+ "content": "<emb>",
215
+ "lstrip": false,
216
+ "normalized": true,
217
+ "rstrip": false,
218
+ "single_word": false,
219
+ "special": false
220
+ }
221
+ },
222
+ "additional_special_tokens": [
223
+ "<|im_start|>",
224
+ "<|im_end|>",
225
+ "<|object_ref_start|>",
226
+ "<|object_ref_end|>",
227
+ "<|box_start|>",
228
+ "<|box_end|>",
229
+ "<|quad_start|>",
230
+ "<|quad_end|>",
231
+ "<|vision_start|>",
232
+ "<|vision_end|>",
233
+ "<|vision_pad|>",
234
+ "<|image_pad|>",
235
+ "<|video_pad|>"
236
+ ],
237
+ "bos_token": null,
238
+ "clean_up_tokenization_spaces": false,
239
+ "eos_token": "<|im_end|>",
240
+ "errors": "replace",
241
+ "extra_special_tokens": {},
242
+ "max_pixels": 802816,
243
+ "min_pixels": 200704,
244
+ "model_max_length": 1024,
245
+ "pad_token": "<|endoftext|>",
246
+ "processor_class": "Qwen3VLProcessor",
247
+ "split_special_tokens": false,
248
+ "tokenizer_class": "Qwen2Tokenizer",
249
+ "unk_token": null
250
+ }
trainer_state.json ADDED
@@ -0,0 +1,1651 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 231,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.004329004329004329,
14
+ "grad_norm": 6.30618953704834,
15
+ "learning_rate": 0.0,
16
+ "loss": 0.4668,
17
+ "step": 1
18
+ },
19
+ {
20
+ "epoch": 0.008658008658008658,
21
+ "grad_norm": 3.96525502204895,
22
+ "learning_rate": 1.4285714285714285e-05,
23
+ "loss": 0.3887,
24
+ "step": 2
25
+ },
26
+ {
27
+ "epoch": 0.012987012987012988,
28
+ "grad_norm": 4.628964424133301,
29
+ "learning_rate": 2.857142857142857e-05,
30
+ "loss": 0.4199,
31
+ "step": 3
32
+ },
33
+ {
34
+ "epoch": 0.017316017316017316,
35
+ "grad_norm": 4.340306282043457,
36
+ "learning_rate": 4.2857142857142856e-05,
37
+ "loss": 0.3379,
38
+ "step": 4
39
+ },
40
+ {
41
+ "epoch": 0.021645021645021644,
42
+ "grad_norm": 10.413896560668945,
43
+ "learning_rate": 5.714285714285714e-05,
44
+ "loss": 0.4785,
45
+ "step": 5
46
+ },
47
+ {
48
+ "epoch": 0.025974025974025976,
49
+ "grad_norm": 3.5524611473083496,
50
+ "learning_rate": 7.142857142857143e-05,
51
+ "loss": 0.3965,
52
+ "step": 6
53
+ },
54
+ {
55
+ "epoch": 0.030303030303030304,
56
+ "grad_norm": 3.9681403636932373,
57
+ "learning_rate": 8.571428571428571e-05,
58
+ "loss": 0.334,
59
+ "step": 7
60
+ },
61
+ {
62
+ "epoch": 0.03463203463203463,
63
+ "grad_norm": 6.837435722351074,
64
+ "learning_rate": 0.0001,
65
+ "loss": 0.4609,
66
+ "step": 8
67
+ },
68
+ {
69
+ "epoch": 0.03896103896103896,
70
+ "grad_norm": 6.86609411239624,
71
+ "learning_rate": 9.999508258797877e-05,
72
+ "loss": 0.4297,
73
+ "step": 9
74
+ },
75
+ {
76
+ "epoch": 0.04329004329004329,
77
+ "grad_norm": 5.7420973777771,
78
+ "learning_rate": 9.998033131915266e-05,
79
+ "loss": 0.3691,
80
+ "step": 10
81
+ },
82
+ {
83
+ "epoch": 0.047619047619047616,
84
+ "grad_norm": 5.456467151641846,
85
+ "learning_rate": 9.995574909504435e-05,
86
+ "loss": 0.4023,
87
+ "step": 11
88
+ },
89
+ {
90
+ "epoch": 0.05194805194805195,
91
+ "grad_norm": 6.083012104034424,
92
+ "learning_rate": 9.992134075089084e-05,
93
+ "loss": 0.498,
94
+ "step": 12
95
+ },
96
+ {
97
+ "epoch": 0.05627705627705628,
98
+ "grad_norm": 24.94365692138672,
99
+ "learning_rate": 9.987711305469231e-05,
100
+ "loss": 0.4551,
101
+ "step": 13
102
+ },
103
+ {
104
+ "epoch": 0.06060606060606061,
105
+ "grad_norm": 9.905355453491211,
106
+ "learning_rate": 9.982307470588098e-05,
107
+ "loss": 0.4453,
108
+ "step": 14
109
+ },
110
+ {
111
+ "epoch": 0.06493506493506493,
112
+ "grad_norm": 6.808415412902832,
113
+ "learning_rate": 9.975923633360985e-05,
114
+ "loss": 0.4434,
115
+ "step": 15
116
+ },
117
+ {
118
+ "epoch": 0.06926406926406926,
119
+ "grad_norm": 8.532634735107422,
120
+ "learning_rate": 9.968561049466214e-05,
121
+ "loss": 0.4043,
122
+ "step": 16
123
+ },
124
+ {
125
+ "epoch": 0.0735930735930736,
126
+ "grad_norm": 7.474434852600098,
127
+ "learning_rate": 9.960221167098124e-05,
128
+ "loss": 0.4473,
129
+ "step": 17
130
+ },
131
+ {
132
+ "epoch": 0.07792207792207792,
133
+ "grad_norm": 31.124326705932617,
134
+ "learning_rate": 9.950905626682228e-05,
135
+ "loss": 0.3809,
136
+ "step": 18
137
+ },
138
+ {
139
+ "epoch": 0.08225108225108226,
140
+ "grad_norm": 7.993480205535889,
141
+ "learning_rate": 9.940616260552544e-05,
142
+ "loss": 0.4863,
143
+ "step": 19
144
+ },
145
+ {
146
+ "epoch": 0.08658008658008658,
147
+ "grad_norm": 6.659813404083252,
148
+ "learning_rate": 9.92935509259118e-05,
149
+ "loss": 0.3477,
150
+ "step": 20
151
+ },
152
+ {
153
+ "epoch": 0.09090909090909091,
154
+ "grad_norm": 8.14820671081543,
155
+ "learning_rate": 9.917124337830243e-05,
156
+ "loss": 0.3809,
157
+ "step": 21
158
+ },
159
+ {
160
+ "epoch": 0.09523809523809523,
161
+ "grad_norm": 6.370754718780518,
162
+ "learning_rate": 9.903926402016153e-05,
163
+ "loss": 0.4727,
164
+ "step": 22
165
+ },
166
+ {
167
+ "epoch": 0.09956709956709957,
168
+ "grad_norm": 10.538797378540039,
169
+ "learning_rate": 9.889763881136439e-05,
170
+ "loss": 0.5156,
171
+ "step": 23
172
+ },
173
+ {
174
+ "epoch": 0.1038961038961039,
175
+ "grad_norm": 8.41638469696045,
176
+ "learning_rate": 9.874639560909117e-05,
177
+ "loss": 0.4727,
178
+ "step": 24
179
+ },
180
+ {
181
+ "epoch": 0.10822510822510822,
182
+ "grad_norm": 11.677297592163086,
183
+ "learning_rate": 9.858556416234755e-05,
184
+ "loss": 0.457,
185
+ "step": 25
186
+ },
187
+ {
188
+ "epoch": 0.11255411255411256,
189
+ "grad_norm": 14.953546524047852,
190
+ "learning_rate": 9.841517610611309e-05,
191
+ "loss": 0.4336,
192
+ "step": 26
193
+ },
194
+ {
195
+ "epoch": 0.11688311688311688,
196
+ "grad_norm": 7.516232013702393,
197
+ "learning_rate": 9.82352649551188e-05,
198
+ "loss": 0.3516,
199
+ "step": 27
200
+ },
201
+ {
202
+ "epoch": 0.12121212121212122,
203
+ "grad_norm": 7.574983596801758,
204
+ "learning_rate": 9.804586609725499e-05,
205
+ "loss": 0.3926,
206
+ "step": 28
207
+ },
208
+ {
209
+ "epoch": 0.12554112554112554,
210
+ "grad_norm": 17.778465270996094,
211
+ "learning_rate": 9.784701678661045e-05,
212
+ "loss": 0.4082,
213
+ "step": 29
214
+ },
215
+ {
216
+ "epoch": 0.12987012987012986,
217
+ "grad_norm": 22.582393646240234,
218
+ "learning_rate": 9.763875613614482e-05,
219
+ "loss": 0.4688,
220
+ "step": 30
221
+ },
222
+ {
223
+ "epoch": 0.1341991341991342,
224
+ "grad_norm": 156.63107299804688,
225
+ "learning_rate": 9.742112510999515e-05,
226
+ "loss": 0.4902,
227
+ "step": 31
228
+ },
229
+ {
230
+ "epoch": 0.13852813852813853,
231
+ "grad_norm": 22.96047592163086,
232
+ "learning_rate": 9.719416651541839e-05,
233
+ "loss": 0.4336,
234
+ "step": 32
235
+ },
236
+ {
237
+ "epoch": 0.14285714285714285,
238
+ "grad_norm": 10.698134422302246,
239
+ "learning_rate": 9.69579249943714e-05,
240
+ "loss": 0.4414,
241
+ "step": 33
242
+ },
243
+ {
244
+ "epoch": 0.1471861471861472,
245
+ "grad_norm": 7.732542514801025,
246
+ "learning_rate": 9.671244701472999e-05,
247
+ "loss": 0.3789,
248
+ "step": 34
249
+ },
250
+ {
251
+ "epoch": 0.15151515151515152,
252
+ "grad_norm": 20.447450637817383,
253
+ "learning_rate": 9.645778086114892e-05,
254
+ "loss": 0.4551,
255
+ "step": 35
256
+ },
257
+ {
258
+ "epoch": 0.15584415584415584,
259
+ "grad_norm": 7.715920925140381,
260
+ "learning_rate": 9.619397662556435e-05,
261
+ "loss": 0.4863,
262
+ "step": 36
263
+ },
264
+ {
265
+ "epoch": 0.16017316017316016,
266
+ "grad_norm": 11.215670585632324,
267
+ "learning_rate": 9.592108619734106e-05,
268
+ "loss": 0.4746,
269
+ "step": 37
270
+ },
271
+ {
272
+ "epoch": 0.1645021645021645,
273
+ "grad_norm": 14.483991622924805,
274
+ "learning_rate": 9.563916325306594e-05,
275
+ "loss": 0.4062,
276
+ "step": 38
277
+ },
278
+ {
279
+ "epoch": 0.16883116883116883,
280
+ "grad_norm": 9.34101390838623,
281
+ "learning_rate": 9.534826324599003e-05,
282
+ "loss": 0.4941,
283
+ "step": 39
284
+ },
285
+ {
286
+ "epoch": 0.17316017316017315,
287
+ "grad_norm": 9.180691719055176,
288
+ "learning_rate": 9.504844339512095e-05,
289
+ "loss": 0.4707,
290
+ "step": 40
291
+ },
292
+ {
293
+ "epoch": 0.1774891774891775,
294
+ "grad_norm": 5.87382173538208,
295
+ "learning_rate": 9.473976267396831e-05,
296
+ "loss": 0.5078,
297
+ "step": 41
298
+ },
299
+ {
300
+ "epoch": 0.18181818181818182,
301
+ "grad_norm": 7.854617118835449,
302
+ "learning_rate": 9.442228179894362e-05,
303
+ "loss": 0.4746,
304
+ "step": 42
305
+ },
306
+ {
307
+ "epoch": 0.18614718614718614,
308
+ "grad_norm": 5.667612075805664,
309
+ "learning_rate": 9.409606321741775e-05,
310
+ "loss": 0.5156,
311
+ "step": 43
312
+ },
313
+ {
314
+ "epoch": 0.19047619047619047,
315
+ "grad_norm": 6.341343402862549,
316
+ "learning_rate": 9.376117109543769e-05,
317
+ "loss": 0.498,
318
+ "step": 44
319
+ },
320
+ {
321
+ "epoch": 0.19480519480519481,
322
+ "grad_norm": 6.829994201660156,
323
+ "learning_rate": 9.341767130510528e-05,
324
+ "loss": 0.3711,
325
+ "step": 45
326
+ },
327
+ {
328
+ "epoch": 0.19913419913419914,
329
+ "grad_norm": 11.078237533569336,
330
+ "learning_rate": 9.306563141162046e-05,
331
+ "loss": 0.4434,
332
+ "step": 46
333
+ },
334
+ {
335
+ "epoch": 0.20346320346320346,
336
+ "grad_norm": 9.45587158203125,
337
+ "learning_rate": 9.270512065999137e-05,
338
+ "loss": 0.5234,
339
+ "step": 47
340
+ },
341
+ {
342
+ "epoch": 0.2077922077922078,
343
+ "grad_norm": 6.764471530914307,
344
+ "learning_rate": 9.233620996141421e-05,
345
+ "loss": 0.4219,
346
+ "step": 48
347
+ },
348
+ {
349
+ "epoch": 0.21212121212121213,
350
+ "grad_norm": 23.972339630126953,
351
+ "learning_rate": 9.195897187932512e-05,
352
+ "loss": 0.3965,
353
+ "step": 49
354
+ },
355
+ {
356
+ "epoch": 0.21645021645021645,
357
+ "grad_norm": 5.304466724395752,
358
+ "learning_rate": 9.157348061512727e-05,
359
+ "loss": 0.418,
360
+ "step": 50
361
+ },
362
+ {
363
+ "epoch": 0.22077922077922077,
364
+ "grad_norm": 5.903518199920654,
365
+ "learning_rate": 9.117981199359574e-05,
366
+ "loss": 0.2969,
367
+ "step": 51
368
+ },
369
+ {
370
+ "epoch": 0.22510822510822512,
371
+ "grad_norm": 6.200258731842041,
372
+ "learning_rate": 9.077804344796302e-05,
373
+ "loss": 0.4551,
374
+ "step": 52
375
+ },
376
+ {
377
+ "epoch": 0.22943722943722944,
378
+ "grad_norm": 7.089105606079102,
379
+ "learning_rate": 9.036825400468812e-05,
380
+ "loss": 0.457,
381
+ "step": 53
382
+ },
383
+ {
384
+ "epoch": 0.23376623376623376,
385
+ "grad_norm": 34.66611862182617,
386
+ "learning_rate": 8.995052426791247e-05,
387
+ "loss": 0.418,
388
+ "step": 54
389
+ },
390
+ {
391
+ "epoch": 0.23809523809523808,
392
+ "grad_norm": 5.267077922821045,
393
+ "learning_rate": 8.952493640360517e-05,
394
+ "loss": 0.4082,
395
+ "step": 55
396
+ },
397
+ {
398
+ "epoch": 0.24242424242424243,
399
+ "grad_norm": 6.587023735046387,
400
+ "learning_rate": 8.90915741234015e-05,
401
+ "loss": 0.4512,
402
+ "step": 56
403
+ },
404
+ {
405
+ "epoch": 0.24675324675324675,
406
+ "grad_norm": 7.729217529296875,
407
+ "learning_rate": 8.865052266813685e-05,
408
+ "loss": 0.4258,
409
+ "step": 57
410
+ },
411
+ {
412
+ "epoch": 0.2510822510822511,
413
+ "grad_norm": 6.812266826629639,
414
+ "learning_rate": 8.820186879108038e-05,
415
+ "loss": 0.4512,
416
+ "step": 58
417
+ },
418
+ {
419
+ "epoch": 0.2554112554112554,
420
+ "grad_norm": 11.491703033447266,
421
+ "learning_rate": 8.77457007408708e-05,
422
+ "loss": 0.2832,
423
+ "step": 59
424
+ },
425
+ {
426
+ "epoch": 0.2597402597402597,
427
+ "grad_norm": 5.020540714263916,
428
+ "learning_rate": 8.728210824415827e-05,
429
+ "loss": 0.3496,
430
+ "step": 60
431
+ },
432
+ {
433
+ "epoch": 0.26406926406926406,
434
+ "grad_norm": 5.021598815917969,
435
+ "learning_rate": 8.681118248795547e-05,
436
+ "loss": 0.5,
437
+ "step": 61
438
+ },
439
+ {
440
+ "epoch": 0.2683982683982684,
441
+ "grad_norm": 8.810498237609863,
442
+ "learning_rate": 8.633301610170135e-05,
443
+ "loss": 0.4551,
444
+ "step": 62
445
+ },
446
+ {
447
+ "epoch": 0.2727272727272727,
448
+ "grad_norm": 7.0777411460876465,
449
+ "learning_rate": 8.584770313904137e-05,
450
+ "loss": 0.3926,
451
+ "step": 63
452
+ },
453
+ {
454
+ "epoch": 0.27705627705627706,
455
+ "grad_norm": 5.617433547973633,
456
+ "learning_rate": 8.535533905932738e-05,
457
+ "loss": 0.3223,
458
+ "step": 64
459
+ },
460
+ {
461
+ "epoch": 0.2813852813852814,
462
+ "grad_norm": 5.157428741455078,
463
+ "learning_rate": 8.485602070884117e-05,
464
+ "loss": 0.373,
465
+ "step": 65
466
+ },
467
+ {
468
+ "epoch": 0.2857142857142857,
469
+ "grad_norm": 6.726741790771484,
470
+ "learning_rate": 8.434984630174509e-05,
471
+ "loss": 0.4219,
472
+ "step": 66
473
+ },
474
+ {
475
+ "epoch": 0.29004329004329005,
476
+ "grad_norm": 4.791531085968018,
477
+ "learning_rate": 8.383691540076371e-05,
478
+ "loss": 0.4199,
479
+ "step": 67
480
+ },
481
+ {
482
+ "epoch": 0.2943722943722944,
483
+ "grad_norm": 5.5883026123046875,
484
+ "learning_rate": 8.33173288976002e-05,
485
+ "loss": 0.459,
486
+ "step": 68
487
+ },
488
+ {
489
+ "epoch": 0.2987012987012987,
490
+ "grad_norm": 7.0759663581848145,
491
+ "learning_rate": 8.279118899309122e-05,
492
+ "loss": 0.4629,
493
+ "step": 69
494
+ },
495
+ {
496
+ "epoch": 0.30303030303030304,
497
+ "grad_norm": 7.941741466522217,
498
+ "learning_rate": 8.225859917710439e-05,
499
+ "loss": 0.4316,
500
+ "step": 70
501
+ },
502
+ {
503
+ "epoch": 0.30735930735930733,
504
+ "grad_norm": 4.9386396408081055,
505
+ "learning_rate": 8.171966420818228e-05,
506
+ "loss": 0.3359,
507
+ "step": 71
508
+ },
509
+ {
510
+ "epoch": 0.3116883116883117,
511
+ "grad_norm": 4.561506748199463,
512
+ "learning_rate": 8.117449009293668e-05,
513
+ "loss": 0.373,
514
+ "step": 72
515
+ },
516
+ {
517
+ "epoch": 0.31601731601731603,
518
+ "grad_norm": 6.921361446380615,
519
+ "learning_rate": 8.062318406519751e-05,
520
+ "loss": 0.3809,
521
+ "step": 73
522
+ },
523
+ {
524
+ "epoch": 0.3203463203463203,
525
+ "grad_norm": 6.0779876708984375,
526
+ "learning_rate": 8.006585456492029e-05,
527
+ "loss": 0.416,
528
+ "step": 74
529
+ },
530
+ {
531
+ "epoch": 0.3246753246753247,
532
+ "grad_norm": 14.405391693115234,
533
+ "learning_rate": 7.950261121685641e-05,
534
+ "loss": 0.3711,
535
+ "step": 75
536
+ },
537
+ {
538
+ "epoch": 0.329004329004329,
539
+ "grad_norm": 12.624444961547852,
540
+ "learning_rate": 7.89335648089903e-05,
541
+ "loss": 0.3691,
542
+ "step": 76
543
+ },
544
+ {
545
+ "epoch": 0.3333333333333333,
546
+ "grad_norm": 8.761910438537598,
547
+ "learning_rate": 7.835882727074779e-05,
548
+ "loss": 0.4707,
549
+ "step": 77
550
+ },
551
+ {
552
+ "epoch": 0.33766233766233766,
553
+ "grad_norm": 6.742737770080566,
554
+ "learning_rate": 7.777851165098012e-05,
555
+ "loss": 0.2949,
556
+ "step": 78
557
+ },
558
+ {
559
+ "epoch": 0.341991341991342,
560
+ "grad_norm": 13.422913551330566,
561
+ "learning_rate": 7.719273209572744e-05,
562
+ "loss": 0.377,
563
+ "step": 79
564
+ },
565
+ {
566
+ "epoch": 0.3463203463203463,
567
+ "grad_norm": 8.455282211303711,
568
+ "learning_rate": 7.660160382576683e-05,
569
+ "loss": 0.4707,
570
+ "step": 80
571
+ },
572
+ {
573
+ "epoch": 0.35064935064935066,
574
+ "grad_norm": 7.551178455352783,
575
+ "learning_rate": 7.600524311394873e-05,
576
+ "loss": 0.4688,
577
+ "step": 81
578
+ },
579
+ {
580
+ "epoch": 0.354978354978355,
581
+ "grad_norm": 5.217031002044678,
582
+ "learning_rate": 7.540376726232648e-05,
583
+ "loss": 0.4492,
584
+ "step": 82
585
+ },
586
+ {
587
+ "epoch": 0.3593073593073593,
588
+ "grad_norm": 7.432611465454102,
589
+ "learning_rate": 7.47972945790834e-05,
590
+ "loss": 0.4121,
591
+ "step": 83
592
+ },
593
+ {
594
+ "epoch": 0.36363636363636365,
595
+ "grad_norm": 10.472357749938965,
596
+ "learning_rate": 7.4185944355262e-05,
597
+ "loss": 0.4199,
598
+ "step": 84
599
+ },
600
+ {
601
+ "epoch": 0.36796536796536794,
602
+ "grad_norm": 8.361776351928711,
603
+ "learning_rate": 7.35698368412999e-05,
604
+ "loss": 0.3496,
605
+ "step": 85
606
+ },
607
+ {
608
+ "epoch": 0.3722943722943723,
609
+ "grad_norm": 8.236878395080566,
610
+ "learning_rate": 7.294909322337689e-05,
611
+ "loss": 0.3906,
612
+ "step": 86
613
+ },
614
+ {
615
+ "epoch": 0.37662337662337664,
616
+ "grad_norm": 6.491207122802734,
617
+ "learning_rate": 7.232383559957814e-05,
618
+ "loss": 0.4277,
619
+ "step": 87
620
+ },
621
+ {
622
+ "epoch": 0.38095238095238093,
623
+ "grad_norm": 9.313511848449707,
624
+ "learning_rate": 7.169418695587791e-05,
625
+ "loss": 0.3867,
626
+ "step": 88
627
+ },
628
+ {
629
+ "epoch": 0.3852813852813853,
630
+ "grad_norm": 13.22208309173584,
631
+ "learning_rate": 7.106027114194855e-05,
632
+ "loss": 0.4824,
633
+ "step": 89
634
+ },
635
+ {
636
+ "epoch": 0.38961038961038963,
637
+ "grad_norm": 7.9978718757629395,
638
+ "learning_rate": 7.042221284679982e-05,
639
+ "loss": 0.4238,
640
+ "step": 90
641
+ },
642
+ {
643
+ "epoch": 0.3939393939393939,
644
+ "grad_norm": 14.92418384552002,
645
+ "learning_rate": 6.978013757425295e-05,
646
+ "loss": 0.4941,
647
+ "step": 91
648
+ },
649
+ {
650
+ "epoch": 0.39826839826839827,
651
+ "grad_norm": 8.810619354248047,
652
+ "learning_rate": 6.91341716182545e-05,
653
+ "loss": 0.3691,
654
+ "step": 92
655
+ },
656
+ {
657
+ "epoch": 0.4025974025974026,
658
+ "grad_norm": 7.104898452758789,
659
+ "learning_rate": 6.848444203803476e-05,
660
+ "loss": 0.4609,
661
+ "step": 93
662
+ },
663
+ {
664
+ "epoch": 0.4069264069264069,
665
+ "grad_norm": 30.174938201904297,
666
+ "learning_rate": 6.783107663311565e-05,
667
+ "loss": 0.375,
668
+ "step": 94
669
+ },
670
+ {
671
+ "epoch": 0.41125541125541126,
672
+ "grad_norm": 6.395003318786621,
673
+ "learning_rate": 6.717420391817306e-05,
674
+ "loss": 0.4043,
675
+ "step": 95
676
+ },
677
+ {
678
+ "epoch": 0.4155844155844156,
679
+ "grad_norm": 17.24394416809082,
680
+ "learning_rate": 6.651395309775837e-05,
681
+ "loss": 0.4434,
682
+ "step": 96
683
+ },
684
+ {
685
+ "epoch": 0.4199134199134199,
686
+ "grad_norm": 6.928684711456299,
687
+ "learning_rate": 6.585045404088441e-05,
688
+ "loss": 0.4141,
689
+ "step": 97
690
+ },
691
+ {
692
+ "epoch": 0.42424242424242425,
693
+ "grad_norm": 14.082657814025879,
694
+ "learning_rate": 6.518383725548074e-05,
695
+ "loss": 0.4414,
696
+ "step": 98
697
+ },
698
+ {
699
+ "epoch": 0.42857142857142855,
700
+ "grad_norm": 21.20639991760254,
701
+ "learning_rate": 6.451423386272312e-05,
702
+ "loss": 0.4121,
703
+ "step": 99
704
+ },
705
+ {
706
+ "epoch": 0.4329004329004329,
707
+ "grad_norm": 12.427319526672363,
708
+ "learning_rate": 6.384177557124247e-05,
709
+ "loss": 0.4258,
710
+ "step": 100
711
+ },
712
+ {
713
+ "epoch": 0.43722943722943725,
714
+ "grad_norm": 10.986278533935547,
715
+ "learning_rate": 6.316659465121824e-05,
716
+ "loss": 0.3965,
717
+ "step": 101
718
+ },
719
+ {
720
+ "epoch": 0.44155844155844154,
721
+ "grad_norm": 12.830971717834473,
722
+ "learning_rate": 6.248882390836135e-05,
723
+ "loss": 0.4375,
724
+ "step": 102
725
+ },
726
+ {
727
+ "epoch": 0.4458874458874459,
728
+ "grad_norm": 14.790221214294434,
729
+ "learning_rate": 6.180859665779172e-05,
730
+ "loss": 0.4492,
731
+ "step": 103
732
+ },
733
+ {
734
+ "epoch": 0.45021645021645024,
735
+ "grad_norm": 44.620018005371094,
736
+ "learning_rate": 6.112604669781572e-05,
737
+ "loss": 0.5703,
738
+ "step": 104
739
+ },
740
+ {
741
+ "epoch": 0.45454545454545453,
742
+ "grad_norm": 13.396041870117188,
743
+ "learning_rate": 6.04413082836085e-05,
744
+ "loss": 0.4805,
745
+ "step": 105
746
+ },
747
+ {
748
+ "epoch": 0.4588744588744589,
749
+ "grad_norm": 13.93975830078125,
750
+ "learning_rate": 5.9754516100806423e-05,
751
+ "loss": 0.3809,
752
+ "step": 106
753
+ },
754
+ {
755
+ "epoch": 0.46320346320346323,
756
+ "grad_norm": 18.1014404296875,
757
+ "learning_rate": 5.9065805239014923e-05,
758
+ "loss": 0.4707,
759
+ "step": 107
760
+ },
761
+ {
762
+ "epoch": 0.4675324675324675,
763
+ "grad_norm": 7.800663948059082,
764
+ "learning_rate": 5.837531116523682e-05,
765
+ "loss": 0.4121,
766
+ "step": 108
767
+ },
768
+ {
769
+ "epoch": 0.47186147186147187,
770
+ "grad_norm": 9.331329345703125,
771
+ "learning_rate": 5.76831696972265e-05,
772
+ "loss": 0.3926,
773
+ "step": 109
774
+ },
775
+ {
776
+ "epoch": 0.47619047619047616,
777
+ "grad_norm": 8.944900512695312,
778
+ "learning_rate": 5.698951697677498e-05,
779
+ "loss": 0.3262,
780
+ "step": 110
781
+ },
782
+ {
783
+ "epoch": 0.4805194805194805,
784
+ "grad_norm": 20.515888214111328,
785
+ "learning_rate": 5.629448944293127e-05,
786
+ "loss": 0.4648,
787
+ "step": 111
788
+ },
789
+ {
790
+ "epoch": 0.48484848484848486,
791
+ "grad_norm": 9.60425853729248,
792
+ "learning_rate": 5.559822380516539e-05,
793
+ "loss": 0.4023,
794
+ "step": 112
795
+ },
796
+ {
797
+ "epoch": 0.48917748917748916,
798
+ "grad_norm": 9.976903915405273,
799
+ "learning_rate": 5.490085701647805e-05,
800
+ "loss": 0.3438,
801
+ "step": 113
802
+ },
803
+ {
804
+ "epoch": 0.4935064935064935,
805
+ "grad_norm": 19.132675170898438,
806
+ "learning_rate": 5.420252624646238e-05,
807
+ "loss": 0.3965,
808
+ "step": 114
809
+ },
810
+ {
811
+ "epoch": 0.49783549783549785,
812
+ "grad_norm": 12.469053268432617,
813
+ "learning_rate": 5.3503368854323366e-05,
814
+ "loss": 0.3848,
815
+ "step": 115
816
+ },
817
+ {
818
+ "epoch": 0.5021645021645021,
819
+ "grad_norm": 14.417160034179688,
820
+ "learning_rate": 5.2803522361859594e-05,
821
+ "loss": 0.459,
822
+ "step": 116
823
+ },
824
+ {
825
+ "epoch": 0.5064935064935064,
826
+ "grad_norm": 8.167932510375977,
827
+ "learning_rate": 5.2103124426413264e-05,
828
+ "loss": 0.3711,
829
+ "step": 117
830
+ },
831
+ {
832
+ "epoch": 0.5108225108225108,
833
+ "grad_norm": 9.628777503967285,
834
+ "learning_rate": 5.140231281379345e-05,
835
+ "loss": 0.2695,
836
+ "step": 118
837
+ },
838
+ {
839
+ "epoch": 0.5151515151515151,
840
+ "grad_norm": 13.074538230895996,
841
+ "learning_rate": 5.070122537117812e-05,
842
+ "loss": 0.3633,
843
+ "step": 119
844
+ },
845
+ {
846
+ "epoch": 0.5194805194805194,
847
+ "grad_norm": 8.415633201599121,
848
+ "learning_rate": 5e-05,
849
+ "loss": 0.4395,
850
+ "step": 120
851
+ },
852
+ {
853
+ "epoch": 0.5238095238095238,
854
+ "grad_norm": 16.27584457397461,
855
+ "learning_rate": 4.929877462882189e-05,
856
+ "loss": 0.416,
857
+ "step": 121
858
+ },
859
+ {
860
+ "epoch": 0.5281385281385281,
861
+ "grad_norm": 5.963536262512207,
862
+ "learning_rate": 4.859768718620656e-05,
863
+ "loss": 0.3633,
864
+ "step": 122
865
+ },
866
+ {
867
+ "epoch": 0.5324675324675324,
868
+ "grad_norm": 17.088741302490234,
869
+ "learning_rate": 4.7896875573586755e-05,
870
+ "loss": 0.3672,
871
+ "step": 123
872
+ },
873
+ {
874
+ "epoch": 0.5367965367965368,
875
+ "grad_norm": 16.568267822265625,
876
+ "learning_rate": 4.7196477638140404e-05,
877
+ "loss": 0.4121,
878
+ "step": 124
879
+ },
880
+ {
881
+ "epoch": 0.5411255411255411,
882
+ "grad_norm": 15.208264350891113,
883
+ "learning_rate": 4.649663114567663e-05,
884
+ "loss": 0.4082,
885
+ "step": 125
886
+ },
887
+ {
888
+ "epoch": 0.5454545454545454,
889
+ "grad_norm": 11.11156177520752,
890
+ "learning_rate": 4.579747375353763e-05,
891
+ "loss": 0.375,
892
+ "step": 126
893
+ },
894
+ {
895
+ "epoch": 0.5497835497835498,
896
+ "grad_norm": 15.04819107055664,
897
+ "learning_rate": 4.509914298352197e-05,
898
+ "loss": 0.3594,
899
+ "step": 127
900
+ },
901
+ {
902
+ "epoch": 0.5541125541125541,
903
+ "grad_norm": 6.2651286125183105,
904
+ "learning_rate": 4.4401776194834613e-05,
905
+ "loss": 0.2793,
906
+ "step": 128
907
+ },
908
+ {
909
+ "epoch": 0.5584415584415584,
910
+ "grad_norm": 9.082189559936523,
911
+ "learning_rate": 4.370551055706874e-05,
912
+ "loss": 0.3906,
913
+ "step": 129
914
+ },
915
+ {
916
+ "epoch": 0.5627705627705628,
917
+ "grad_norm": 7.258723258972168,
918
+ "learning_rate": 4.3010483023225045e-05,
919
+ "loss": 0.3086,
920
+ "step": 130
921
+ },
922
+ {
923
+ "epoch": 0.5670995670995671,
924
+ "grad_norm": 9.980514526367188,
925
+ "learning_rate": 4.231683030277349e-05,
926
+ "loss": 0.4043,
927
+ "step": 131
928
+ },
929
+ {
930
+ "epoch": 0.5714285714285714,
931
+ "grad_norm": 13.367783546447754,
932
+ "learning_rate": 4.162468883476319e-05,
933
+ "loss": 0.3223,
934
+ "step": 132
935
+ },
936
+ {
937
+ "epoch": 0.5757575757575758,
938
+ "grad_norm": 5.13516902923584,
939
+ "learning_rate": 4.093419476098509e-05,
940
+ "loss": 0.3027,
941
+ "step": 133
942
+ },
943
+ {
944
+ "epoch": 0.5800865800865801,
945
+ "grad_norm": 6.814506530761719,
946
+ "learning_rate": 4.0245483899193595e-05,
947
+ "loss": 0.4395,
948
+ "step": 134
949
+ },
950
+ {
951
+ "epoch": 0.5844155844155844,
952
+ "grad_norm": 9.574424743652344,
953
+ "learning_rate": 3.955869171639152e-05,
954
+ "loss": 0.3027,
955
+ "step": 135
956
+ },
957
+ {
958
+ "epoch": 0.5887445887445888,
959
+ "grad_norm": 6.566686630249023,
960
+ "learning_rate": 3.887395330218429e-05,
961
+ "loss": 0.3262,
962
+ "step": 136
963
+ },
964
+ {
965
+ "epoch": 0.5930735930735931,
966
+ "grad_norm": 14.991905212402344,
967
+ "learning_rate": 3.81914033422083e-05,
968
+ "loss": 0.3926,
969
+ "step": 137
970
+ },
971
+ {
972
+ "epoch": 0.5974025974025974,
973
+ "grad_norm": 6.989403247833252,
974
+ "learning_rate": 3.7511176091638653e-05,
975
+ "loss": 0.416,
976
+ "step": 138
977
+ },
978
+ {
979
+ "epoch": 0.6017316017316018,
980
+ "grad_norm": 99.71111297607422,
981
+ "learning_rate": 3.683340534878176e-05,
982
+ "loss": 0.3555,
983
+ "step": 139
984
+ },
985
+ {
986
+ "epoch": 0.6060606060606061,
987
+ "grad_norm": 7.185469150543213,
988
+ "learning_rate": 3.6158224428757535e-05,
989
+ "loss": 0.3555,
990
+ "step": 140
991
+ },
992
+ {
993
+ "epoch": 0.6103896103896104,
994
+ "grad_norm": 48.649051666259766,
995
+ "learning_rate": 3.5485766137276894e-05,
996
+ "loss": 0.3906,
997
+ "step": 141
998
+ },
999
+ {
1000
+ "epoch": 0.6147186147186147,
1001
+ "grad_norm": 8.177955627441406,
1002
+ "learning_rate": 3.4816162744519263e-05,
1003
+ "loss": 0.4043,
1004
+ "step": 142
1005
+ },
1006
+ {
1007
+ "epoch": 0.6190476190476191,
1008
+ "grad_norm": 7.434495449066162,
1009
+ "learning_rate": 3.4149545959115605e-05,
1010
+ "loss": 0.3867,
1011
+ "step": 143
1012
+ },
1013
+ {
1014
+ "epoch": 0.6233766233766234,
1015
+ "grad_norm": 10.178008079528809,
1016
+ "learning_rate": 3.3486046902241664e-05,
1017
+ "loss": 0.4141,
1018
+ "step": 144
1019
+ },
1020
+ {
1021
+ "epoch": 0.6277056277056277,
1022
+ "grad_norm": 6.520373821258545,
1023
+ "learning_rate": 3.282579608182694e-05,
1024
+ "loss": 0.3301,
1025
+ "step": 145
1026
+ },
1027
+ {
1028
+ "epoch": 0.6320346320346321,
1029
+ "grad_norm": 15.099567413330078,
1030
+ "learning_rate": 3.216892336688435e-05,
1031
+ "loss": 0.3496,
1032
+ "step": 146
1033
+ },
1034
+ {
1035
+ "epoch": 0.6363636363636364,
1036
+ "grad_norm": 14.876191139221191,
1037
+ "learning_rate": 3.151555796196525e-05,
1038
+ "loss": 0.3691,
1039
+ "step": 147
1040
+ },
1041
+ {
1042
+ "epoch": 0.6406926406926406,
1043
+ "grad_norm": 10.065027236938477,
1044
+ "learning_rate": 3.086582838174551e-05,
1045
+ "loss": 0.3379,
1046
+ "step": 148
1047
+ },
1048
+ {
1049
+ "epoch": 0.645021645021645,
1050
+ "grad_norm": 7.905645370483398,
1051
+ "learning_rate": 3.021986242574707e-05,
1052
+ "loss": 0.4004,
1053
+ "step": 149
1054
+ },
1055
+ {
1056
+ "epoch": 0.6493506493506493,
1057
+ "grad_norm": 10.962891578674316,
1058
+ "learning_rate": 2.9577787153200197e-05,
1059
+ "loss": 0.4141,
1060
+ "step": 150
1061
+ },
1062
+ {
1063
+ "epoch": 0.6536796536796536,
1064
+ "grad_norm": 6.561282157897949,
1065
+ "learning_rate": 2.893972885805148e-05,
1066
+ "loss": 0.4844,
1067
+ "step": 151
1068
+ },
1069
+ {
1070
+ "epoch": 0.658008658008658,
1071
+ "grad_norm": 15.016473770141602,
1072
+ "learning_rate": 2.8305813044122097e-05,
1073
+ "loss": 0.3418,
1074
+ "step": 152
1075
+ },
1076
+ {
1077
+ "epoch": 0.6623376623376623,
1078
+ "grad_norm": 8.82343864440918,
1079
+ "learning_rate": 2.7676164400421862e-05,
1080
+ "loss": 0.3438,
1081
+ "step": 153
1082
+ },
1083
+ {
1084
+ "epoch": 0.6666666666666666,
1085
+ "grad_norm": 6.84242582321167,
1086
+ "learning_rate": 2.705090677662311e-05,
1087
+ "loss": 0.3438,
1088
+ "step": 154
1089
+ },
1090
+ {
1091
+ "epoch": 0.670995670995671,
1092
+ "grad_norm": 7.3810930252075195,
1093
+ "learning_rate": 2.6430163158700115e-05,
1094
+ "loss": 0.3906,
1095
+ "step": 155
1096
+ },
1097
+ {
1098
+ "epoch": 0.6753246753246753,
1099
+ "grad_norm": 8.569120407104492,
1100
+ "learning_rate": 2.581405564473801e-05,
1101
+ "loss": 0.4004,
1102
+ "step": 156
1103
+ },
1104
+ {
1105
+ "epoch": 0.6796536796536796,
1106
+ "grad_norm": 13.025605201721191,
1107
+ "learning_rate": 2.5202705420916627e-05,
1108
+ "loss": 0.373,
1109
+ "step": 157
1110
+ },
1111
+ {
1112
+ "epoch": 0.683982683982684,
1113
+ "grad_norm": 8.868095397949219,
1114
+ "learning_rate": 2.459623273767354e-05,
1115
+ "loss": 0.4199,
1116
+ "step": 158
1117
+ },
1118
+ {
1119
+ "epoch": 0.6883116883116883,
1120
+ "grad_norm": 6.385418891906738,
1121
+ "learning_rate": 2.3994756886051268e-05,
1122
+ "loss": 0.3203,
1123
+ "step": 159
1124
+ },
1125
+ {
1126
+ "epoch": 0.6926406926406926,
1127
+ "grad_norm": 8.916970252990723,
1128
+ "learning_rate": 2.3398396174233178e-05,
1129
+ "loss": 0.2949,
1130
+ "step": 160
1131
+ },
1132
+ {
1133
+ "epoch": 0.696969696969697,
1134
+ "grad_norm": 9.499614715576172,
1135
+ "learning_rate": 2.280726790427258e-05,
1136
+ "loss": 0.2832,
1137
+ "step": 161
1138
+ },
1139
+ {
1140
+ "epoch": 0.7012987012987013,
1141
+ "grad_norm": 14.341413497924805,
1142
+ "learning_rate": 2.2221488349019903e-05,
1143
+ "loss": 0.3125,
1144
+ "step": 162
1145
+ },
1146
+ {
1147
+ "epoch": 0.7056277056277056,
1148
+ "grad_norm": 6.781824111938477,
1149
+ "learning_rate": 2.164117272925221e-05,
1150
+ "loss": 0.332,
1151
+ "step": 163
1152
+ },
1153
+ {
1154
+ "epoch": 0.70995670995671,
1155
+ "grad_norm": 44.00325393676758,
1156
+ "learning_rate": 2.1066435191009715e-05,
1157
+ "loss": 0.4141,
1158
+ "step": 164
1159
+ },
1160
+ {
1161
+ "epoch": 0.7142857142857143,
1162
+ "grad_norm": 13.864439010620117,
1163
+ "learning_rate": 2.0497388783143602e-05,
1164
+ "loss": 0.4199,
1165
+ "step": 165
1166
+ },
1167
+ {
1168
+ "epoch": 0.7186147186147186,
1169
+ "grad_norm": 8.958086967468262,
1170
+ "learning_rate": 1.9934145435079702e-05,
1171
+ "loss": 0.3535,
1172
+ "step": 166
1173
+ },
1174
+ {
1175
+ "epoch": 0.7229437229437229,
1176
+ "grad_norm": 4.822065830230713,
1177
+ "learning_rate": 1.9376815934802496e-05,
1178
+ "loss": 0.3828,
1179
+ "step": 167
1180
+ },
1181
+ {
1182
+ "epoch": 0.7272727272727273,
1183
+ "grad_norm": 8.322967529296875,
1184
+ "learning_rate": 1.8825509907063327e-05,
1185
+ "loss": 0.4258,
1186
+ "step": 168
1187
+ },
1188
+ {
1189
+ "epoch": 0.7316017316017316,
1190
+ "grad_norm": 13.969364166259766,
1191
+ "learning_rate": 1.8280335791817733e-05,
1192
+ "loss": 0.3672,
1193
+ "step": 169
1194
+ },
1195
+ {
1196
+ "epoch": 0.7359307359307359,
1197
+ "grad_norm": 6.8569722175598145,
1198
+ "learning_rate": 1.774140082289563e-05,
1199
+ "loss": 0.3789,
1200
+ "step": 170
1201
+ },
1202
+ {
1203
+ "epoch": 0.7402597402597403,
1204
+ "grad_norm": 6.253945827484131,
1205
+ "learning_rate": 1.7208811006908798e-05,
1206
+ "loss": 0.3379,
1207
+ "step": 171
1208
+ },
1209
+ {
1210
+ "epoch": 0.7445887445887446,
1211
+ "grad_norm": 5.97335958480835,
1212
+ "learning_rate": 1.6682671102399805e-05,
1213
+ "loss": 0.3672,
1214
+ "step": 172
1215
+ },
1216
+ {
1217
+ "epoch": 0.7489177489177489,
1218
+ "grad_norm": 21.618064880371094,
1219
+ "learning_rate": 1.6163084599236278e-05,
1220
+ "loss": 0.4297,
1221
+ "step": 173
1222
+ },
1223
+ {
1224
+ "epoch": 0.7532467532467533,
1225
+ "grad_norm": 6.355106353759766,
1226
+ "learning_rate": 1.5650153698254916e-05,
1227
+ "loss": 0.2969,
1228
+ "step": 174
1229
+ },
1230
+ {
1231
+ "epoch": 0.7575757575757576,
1232
+ "grad_norm": 11.884471893310547,
1233
+ "learning_rate": 1.5143979291158838e-05,
1234
+ "loss": 0.4531,
1235
+ "step": 175
1236
+ },
1237
+ {
1238
+ "epoch": 0.7619047619047619,
1239
+ "grad_norm": 8.2210054397583,
1240
+ "learning_rate": 1.4644660940672627e-05,
1241
+ "loss": 0.3535,
1242
+ "step": 176
1243
+ },
1244
+ {
1245
+ "epoch": 0.7662337662337663,
1246
+ "grad_norm": 5.43289852142334,
1247
+ "learning_rate": 1.4152296860958642e-05,
1248
+ "loss": 0.3281,
1249
+ "step": 177
1250
+ },
1251
+ {
1252
+ "epoch": 0.7705627705627706,
1253
+ "grad_norm": 13.447378158569336,
1254
+ "learning_rate": 1.3666983898298657e-05,
1255
+ "loss": 0.4336,
1256
+ "step": 178
1257
+ },
1258
+ {
1259
+ "epoch": 0.7748917748917749,
1260
+ "grad_norm": 9.235896110534668,
1261
+ "learning_rate": 1.3188817512044544e-05,
1262
+ "loss": 0.3516,
1263
+ "step": 179
1264
+ },
1265
+ {
1266
+ "epoch": 0.7792207792207793,
1267
+ "grad_norm": 6.7336602210998535,
1268
+ "learning_rate": 1.2717891755841722e-05,
1269
+ "loss": 0.3223,
1270
+ "step": 180
1271
+ },
1272
+ {
1273
+ "epoch": 0.7835497835497836,
1274
+ "grad_norm": 6.973309516906738,
1275
+ "learning_rate": 1.225429925912921e-05,
1276
+ "loss": 0.3301,
1277
+ "step": 181
1278
+ },
1279
+ {
1280
+ "epoch": 0.7878787878787878,
1281
+ "grad_norm": 30.55255699157715,
1282
+ "learning_rate": 1.1798131208919627e-05,
1283
+ "loss": 0.3027,
1284
+ "step": 182
1285
+ },
1286
+ {
1287
+ "epoch": 0.7922077922077922,
1288
+ "grad_norm": 10.4804048538208,
1289
+ "learning_rate": 1.134947733186315e-05,
1290
+ "loss": 0.3848,
1291
+ "step": 183
1292
+ },
1293
+ {
1294
+ "epoch": 0.7965367965367965,
1295
+ "grad_norm": 5.046676158905029,
1296
+ "learning_rate": 1.090842587659851e-05,
1297
+ "loss": 0.4805,
1298
+ "step": 184
1299
+ },
1300
+ {
1301
+ "epoch": 0.8008658008658008,
1302
+ "grad_norm": 8.961450576782227,
1303
+ "learning_rate": 1.047506359639483e-05,
1304
+ "loss": 0.3398,
1305
+ "step": 185
1306
+ },
1307
+ {
1308
+ "epoch": 0.8051948051948052,
1309
+ "grad_norm": 10.69762134552002,
1310
+ "learning_rate": 1.004947573208756e-05,
1311
+ "loss": 0.3945,
1312
+ "step": 186
1313
+ },
1314
+ {
1315
+ "epoch": 0.8095238095238095,
1316
+ "grad_norm": 9.194847106933594,
1317
+ "learning_rate": 9.63174599531188e-06,
1318
+ "loss": 0.3379,
1319
+ "step": 187
1320
+ },
1321
+ {
1322
+ "epoch": 0.8138528138528138,
1323
+ "grad_norm": 7.735859394073486,
1324
+ "learning_rate": 9.221956552036992e-06,
1325
+ "loss": 0.373,
1326
+ "step": 188
1327
+ },
1328
+ {
1329
+ "epoch": 0.8181818181818182,
1330
+ "grad_norm": 7.634536266326904,
1331
+ "learning_rate": 8.820188006404268e-06,
1332
+ "loss": 0.3418,
1333
+ "step": 189
1334
+ },
1335
+ {
1336
+ "epoch": 0.8225108225108225,
1337
+ "grad_norm": 12.410811424255371,
1338
+ "learning_rate": 8.426519384872733e-06,
1339
+ "loss": 0.3125,
1340
+ "step": 190
1341
+ },
1342
+ {
1343
+ "epoch": 0.8268398268398268,
1344
+ "grad_norm": 44.61256408691406,
1345
+ "learning_rate": 8.041028120674893e-06,
1346
+ "loss": 0.3418,
1347
+ "step": 191
1348
+ },
1349
+ {
1350
+ "epoch": 0.8311688311688312,
1351
+ "grad_norm": 8.871509552001953,
1352
+ "learning_rate": 7.663790038585793e-06,
1353
+ "loss": 0.4141,
1354
+ "step": 192
1355
+ },
1356
+ {
1357
+ "epoch": 0.8354978354978355,
1358
+ "grad_norm": 7.508159160614014,
1359
+ "learning_rate": 7.2948793400086315e-06,
1360
+ "loss": 0.4004,
1361
+ "step": 193
1362
+ },
1363
+ {
1364
+ "epoch": 0.8398268398268398,
1365
+ "grad_norm": 33.30258560180664,
1366
+ "learning_rate": 6.934368588379553e-06,
1367
+ "loss": 0.3574,
1368
+ "step": 194
1369
+ },
1370
+ {
1371
+ "epoch": 0.8441558441558441,
1372
+ "grad_norm": 21.46922492980957,
1373
+ "learning_rate": 6.582328694894729e-06,
1374
+ "loss": 0.4023,
1375
+ "step": 195
1376
+ },
1377
+ {
1378
+ "epoch": 0.8484848484848485,
1379
+ "grad_norm": 31.504789352416992,
1380
+ "learning_rate": 6.238828904562316e-06,
1381
+ "loss": 0.377,
1382
+ "step": 196
1383
+ },
1384
+ {
1385
+ "epoch": 0.8528138528138528,
1386
+ "grad_norm": 9.979594230651855,
1387
+ "learning_rate": 5.903936782582253e-06,
1388
+ "loss": 0.4668,
1389
+ "step": 197
1390
+ },
1391
+ {
1392
+ "epoch": 0.8571428571428571,
1393
+ "grad_norm": 7.933041095733643,
1394
+ "learning_rate": 5.577718201056392e-06,
1395
+ "loss": 0.4102,
1396
+ "step": 198
1397
+ },
1398
+ {
1399
+ "epoch": 0.8614718614718615,
1400
+ "grad_norm": 5.786583423614502,
1401
+ "learning_rate": 5.260237326031697e-06,
1402
+ "loss": 0.4414,
1403
+ "step": 199
1404
+ },
1405
+ {
1406
+ "epoch": 0.8658008658008658,
1407
+ "grad_norm": 5.894907474517822,
1408
+ "learning_rate": 4.951556604879048e-06,
1409
+ "loss": 0.3848,
1410
+ "step": 200
1411
+ },
1412
+ {
1413
+ "epoch": 0.8701298701298701,
1414
+ "grad_norm": 32.59992599487305,
1415
+ "learning_rate": 4.651736754009972e-06,
1416
+ "loss": 0.3672,
1417
+ "step": 201
1418
+ },
1419
+ {
1420
+ "epoch": 0.8744588744588745,
1421
+ "grad_norm": 10.215508460998535,
1422
+ "learning_rate": 4.360836746934055e-06,
1423
+ "loss": 0.3496,
1424
+ "step": 202
1425
+ },
1426
+ {
1427
+ "epoch": 0.8787878787878788,
1428
+ "grad_norm": 10.185182571411133,
1429
+ "learning_rate": 4.078913802658946e-06,
1430
+ "loss": 0.4062,
1431
+ "step": 203
1432
+ },
1433
+ {
1434
+ "epoch": 0.8831168831168831,
1435
+ "grad_norm": 5.9914021492004395,
1436
+ "learning_rate": 3.8060233744356633e-06,
1437
+ "loss": 0.3633,
1438
+ "step": 204
1439
+ },
1440
+ {
1441
+ "epoch": 0.8874458874458875,
1442
+ "grad_norm": 18.541730880737305,
1443
+ "learning_rate": 3.542219138851094e-06,
1444
+ "loss": 0.3691,
1445
+ "step": 205
1446
+ },
1447
+ {
1448
+ "epoch": 0.8917748917748918,
1449
+ "grad_norm": 5.432623863220215,
1450
+ "learning_rate": 3.2875529852700147e-06,
1451
+ "loss": 0.4297,
1452
+ "step": 206
1453
+ },
1454
+ {
1455
+ "epoch": 0.8961038961038961,
1456
+ "grad_norm": 15.46761417388916,
1457
+ "learning_rate": 3.0420750056286195e-06,
1458
+ "loss": 0.3379,
1459
+ "step": 207
1460
+ },
1461
+ {
1462
+ "epoch": 0.9004329004329005,
1463
+ "grad_norm": 6.300500392913818,
1464
+ "learning_rate": 2.8058334845816213e-06,
1465
+ "loss": 0.2754,
1466
+ "step": 208
1467
+ },
1468
+ {
1469
+ "epoch": 0.9047619047619048,
1470
+ "grad_norm": 8.409278869628906,
1471
+ "learning_rate": 2.5788748900048676e-06,
1472
+ "loss": 0.293,
1473
+ "step": 209
1474
+ },
1475
+ {
1476
+ "epoch": 0.9090909090909091,
1477
+ "grad_norm": 12.198765754699707,
1478
+ "learning_rate": 2.361243863855184e-06,
1479
+ "loss": 0.3789,
1480
+ "step": 210
1481
+ },
1482
+ {
1483
+ "epoch": 0.9134199134199135,
1484
+ "grad_norm": 6.002485275268555,
1485
+ "learning_rate": 2.152983213389559e-06,
1486
+ "loss": 0.3652,
1487
+ "step": 211
1488
+ },
1489
+ {
1490
+ "epoch": 0.9177489177489178,
1491
+ "grad_norm": 5.1724090576171875,
1492
+ "learning_rate": 1.9541339027450256e-06,
1493
+ "loss": 0.3125,
1494
+ "step": 212
1495
+ },
1496
+ {
1497
+ "epoch": 0.922077922077922,
1498
+ "grad_norm": 19.717180252075195,
1499
+ "learning_rate": 1.7647350448812106e-06,
1500
+ "loss": 0.3516,
1501
+ "step": 213
1502
+ },
1503
+ {
1504
+ "epoch": 0.9264069264069265,
1505
+ "grad_norm": 17.20496368408203,
1506
+ "learning_rate": 1.584823893886933e-06,
1507
+ "loss": 0.3789,
1508
+ "step": 214
1509
+ },
1510
+ {
1511
+ "epoch": 0.9307359307359307,
1512
+ "grad_norm": 6.270045280456543,
1513
+ "learning_rate": 1.4144358376524503e-06,
1514
+ "loss": 0.3672,
1515
+ "step": 215
1516
+ },
1517
+ {
1518
+ "epoch": 0.935064935064935,
1519
+ "grad_norm": 10.227100372314453,
1520
+ "learning_rate": 1.2536043909088191e-06,
1521
+ "loss": 0.4395,
1522
+ "step": 216
1523
+ },
1524
+ {
1525
+ "epoch": 0.9393939393939394,
1526
+ "grad_norm": 8.13603401184082,
1527
+ "learning_rate": 1.10236118863562e-06,
1528
+ "loss": 0.3418,
1529
+ "step": 217
1530
+ },
1531
+ {
1532
+ "epoch": 0.9437229437229437,
1533
+ "grad_norm": 7.209720611572266,
1534
+ "learning_rate": 9.607359798384785e-07,
1535
+ "loss": 0.3945,
1536
+ "step": 218
1537
+ },
1538
+ {
1539
+ "epoch": 0.948051948051948,
1540
+ "grad_norm": 8.675386428833008,
1541
+ "learning_rate": 8.287566216975795e-07,
1542
+ "loss": 0.3242,
1543
+ "step": 219
1544
+ },
1545
+ {
1546
+ "epoch": 0.9523809523809523,
1547
+ "grad_norm": 13.124395370483398,
1548
+ "learning_rate": 7.064490740882057e-07,
1549
+ "loss": 0.3398,
1550
+ "step": 220
1551
+ },
1552
+ {
1553
+ "epoch": 0.9567099567099567,
1554
+ "grad_norm": 5.071322917938232,
1555
+ "learning_rate": 5.938373944745612e-07,
1556
+ "loss": 0.2812,
1557
+ "step": 221
1558
+ },
1559
+ {
1560
+ "epoch": 0.961038961038961,
1561
+ "grad_norm": 6.736144542694092,
1562
+ "learning_rate": 4.909437331777179e-07,
1563
+ "loss": 0.3906,
1564
+ "step": 222
1565
+ },
1566
+ {
1567
+ "epoch": 0.9653679653679653,
1568
+ "grad_norm": 6.963472366333008,
1569
+ "learning_rate": 3.9778832901876675e-07,
1570
+ "loss": 0.3945,
1571
+ "step": 223
1572
+ },
1573
+ {
1574
+ "epoch": 0.9696969696969697,
1575
+ "grad_norm": 11.631999015808105,
1576
+ "learning_rate": 3.143895053378698e-07,
1577
+ "loss": 0.418,
1578
+ "step": 224
1579
+ },
1580
+ {
1581
+ "epoch": 0.974025974025974,
1582
+ "grad_norm": 6.837718963623047,
1583
+ "learning_rate": 2.407636663901591e-07,
1584
+ "loss": 0.334,
1585
+ "step": 225
1586
+ },
1587
+ {
1588
+ "epoch": 0.9783549783549783,
1589
+ "grad_norm": 71.07975006103516,
1590
+ "learning_rate": 1.7692529411904578e-07,
1591
+ "loss": 0.3926,
1592
+ "step": 226
1593
+ },
1594
+ {
1595
+ "epoch": 0.9826839826839827,
1596
+ "grad_norm": 9.980896949768066,
1597
+ "learning_rate": 1.228869453076986e-07,
1598
+ "loss": 0.3398,
1599
+ "step": 227
1600
+ },
1601
+ {
1602
+ "epoch": 0.987012987012987,
1603
+ "grad_norm": 34.9681282043457,
1604
+ "learning_rate": 7.865924910916977e-08,
1605
+ "loss": 0.4414,
1606
+ "step": 228
1607
+ },
1608
+ {
1609
+ "epoch": 0.9913419913419913,
1610
+ "grad_norm": 23.342512130737305,
1611
+ "learning_rate": 4.4250904955656095e-08,
1612
+ "loss": 0.4336,
1613
+ "step": 229
1614
+ },
1615
+ {
1616
+ "epoch": 0.9956709956709957,
1617
+ "grad_norm": 15.746844291687012,
1618
+ "learning_rate": 1.9668680847356735e-08,
1619
+ "loss": 0.375,
1620
+ "step": 230
1621
+ },
1622
+ {
1623
+ "epoch": 1.0,
1624
+ "grad_norm": 19.062803268432617,
1625
+ "learning_rate": 4.917412021249179e-09,
1626
+ "loss": 0.3711,
1627
+ "step": 231
1628
+ }
1629
+ ],
1630
+ "logging_steps": 1.0,
1631
+ "max_steps": 231,
1632
+ "num_input_tokens_seen": 0,
1633
+ "num_train_epochs": 1,
1634
+ "save_steps": 116,
1635
+ "stateful_callbacks": {
1636
+ "TrainerControl": {
1637
+ "args": {
1638
+ "should_epoch_stop": false,
1639
+ "should_evaluate": false,
1640
+ "should_log": false,
1641
+ "should_save": true,
1642
+ "should_training_stop": true
1643
+ },
1644
+ "attributes": {}
1645
+ }
1646
+ },
1647
+ "total_flos": 2.922842866902368e+18,
1648
+ "train_batch_size": 64,
1649
+ "trial_name": null,
1650
+ "trial_params": null
1651
+ }
video_preprocessor_config.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crop_size": null,
3
+ "data_format": "channels_first",
4
+ "default_to_square": true,
5
+ "device": null,
6
+ "do_center_crop": null,
7
+ "do_convert_rgb": true,
8
+ "do_normalize": true,
9
+ "do_rescale": true,
10
+ "do_resize": true,
11
+ "do_sample_frames": true,
12
+ "fps": 2,
13
+ "image_mean": [
14
+ 0.5,
15
+ 0.5,
16
+ 0.5
17
+ ],
18
+ "image_std": [
19
+ 0.5,
20
+ 0.5,
21
+ 0.5
22
+ ],
23
+ "input_data_format": null,
24
+ "max_frames": 768,
25
+ "merge_size": 2,
26
+ "min_frames": 4,
27
+ "num_frames": null,
28
+ "pad_size": null,
29
+ "patch_size": 16,
30
+ "processor_class": "Qwen3VLProcessor",
31
+ "resample": 3,
32
+ "rescale_factor": 0.00392156862745098,
33
+ "return_metadata": false,
34
+ "size": {
35
+ "longest_edge": 25165824,
36
+ "shortest_edge": 4096
37
+ },
38
+ "temporal_patch_size": 2,
39
+ "video_metadata": null,
40
+ "video_processor_type": "Qwen3VLVideoProcessor"
41
+ }
vocab.json ADDED
The diff for this file is too large to render. See raw diff