File size: 4,150 Bytes
ac03d91 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 | _n_gpu: 1
accelerator_config:
dispatch_batches: null
even_batches: true
gradient_accumulation_kwargs: null
non_blocking: false
split_batches: false
use_configured_state: false
use_seedable_sampler: true
adafactor: false
adam_beta1: 0.9
adam_beta2: 0.999
adam_epsilon: 1.0e-08
auto_find_batch_size: false
average_tokens_across_devices: true
batch_eval_metrics: false
bf16: true
bf16_full_eval: false
data_seed: null
dataloader_drop_last: false
dataloader_num_workers: 0
dataloader_persistent_workers: false
dataloader_pin_memory: true
dataloader_prefetch_factor: null
ddp_backend: null
ddp_broadcast_buffers: null
ddp_bucket_cap_mb: null
ddp_find_unused_parameters: null
ddp_timeout: 1800
debug: []
deepspeed: ./ds_configs/zero2.json
disable_tqdm: false
do_eval: true
do_predict: false
do_train: false
eval_accumulation_steps: null
eval_delay: 0
eval_do_concat_batches: true
eval_on_start: false
eval_steps: null
eval_strategy: !!python/object/apply:transformers.trainer_utils.IntervalStrategy
- epoch
eval_use_gather_object: false
fp16: false
fp16_backend: auto
fp16_full_eval: false
fp16_opt_level: O1
freeze_backbone: false
freeze_only_attn: false
fsdp: []
fsdp_config:
min_num_params: 0
xla: false
xla_fsdp_grad_ckpt: false
xla_fsdp_v2: false
fsdp_min_num_params: 0
fsdp_transformer_layer_cls_to_wrap: null
full_determinism: false
gradient_accumulation_steps: 1
gradient_checkpointing: true
gradient_checkpointing_kwargs: null
greater_is_better: null
group_by_length: false
half_precision_backend: auto
hub_always_push: false
hub_model_id: null
hub_private_repo: null
hub_revision: null
hub_strategy: !!python/object/apply:transformers.trainer_utils.HubStrategy
- every_save
hub_token: null
ignore_data_skip: false
include_for_metrics: []
include_inputs_for_metrics: false
include_num_input_tokens_seen: 'no'
include_tokens_per_second: false
jit_mode_eval: false
label_names: null
label_smoothing_factor: 0.0
learning_rate: 0.0001
length_column_name: length
liger_kernel_config: null
load_best_model_at_end: false
local_rank: 7
log_level: passive
log_level_replica: warning
log_on_each_node: true
logging_dir: ./checkpoints/qwen3-vl-2b_visdoc_late_only/runs/May05_02-14-19_crossnode2
logging_first_step: false
logging_nan_inf_filter: true
logging_steps: 1.0
logging_strategy: !!python/object/apply:transformers.trainer_utils.IntervalStrategy
- steps
lr_scheduler_kwargs: {}
lr_scheduler_type: !!python/object/apply:transformers.trainer_utils.SchedulerType
- cosine
max_grad_norm: 1.0
max_steps: -1
metric_for_best_model: null
model_max_length: 1024
mp_parameters: ''
neftune_noise_alpha: null
no_cuda: false
num_train_epochs: 4.0
optim: !!python/object/apply:transformers.training_args.OptimizerNames
- adamw_torch_fused
optim_args: null
optim_target_modules: null
output_dir: ./checkpoints/qwen3-vl-2b_visdoc_late_only
overwrite_output_dir: false
parallelism_config: null
past_index: -1
per_device_eval_batch_size: 64
per_device_train_batch_size: 64
per_gpu_eval_batch_size: null
per_gpu_train_batch_size: null
prediction_loss_only: false
project: huggingface
push_to_hub: false
push_to_hub_model_id: null
push_to_hub_organization: null
push_to_hub_token: null
ray_scope: last
remove_unused_columns: false
replace_embed_layers: false
report_to:
- wandb
restore_callback_states_from_checkpoint: false
resume_from_checkpoint: null
run_name: qwen3-vl-2b_visdoc_late_only
save_on_each_node: false
save_only_model: false
save_safetensors: true
save_steps: 500
save_strategy: !!python/object/apply:transformers.trainer_utils.SaveStrategy
- epoch
save_total_limit: 1
seed: 42
skip_memory_metrics: true
starting_layer: null
tf32: true
torch_compile: false
torch_compile_backend: null
torch_compile_mode: null
torch_empty_cache_steps: null
torchdynamo: null
tpu_metrics_debug: false
tpu_num_cores: null
trackio_space_id: trackio
train_vision_encoder: false
train_vision_projector: false
use_cpu: false
use_flash_attn: false
use_hard_negatives: false
use_legacy_prediction_loop: false
use_liger_kernel: false
use_mps_device: false
use_steer_layers: false
vision_projector_lr: null
warmup_ratio: 0.03
warmup_steps: 0
weight_decay: 0.0
|