Upload folder using huggingface_hub
Browse files- README.md +4 -2
- adapter_config.json +5 -8
- adapter_model.bin +2 -2
- optimizer.pt +2 -2
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- special_tokens_map.json +4 -8
- tokenizer_config.json +6 -19
- trainer_state.json +1998 -45
- training_args.bin +2 -2
README.md
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@@ -5,6 +5,7 @@ library_name: peft
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The following `bitsandbytes` quantization config was used during training:
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- bnb_4bit_compute_dtype: float16
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The following `bitsandbytes` quantization config was used during training:
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- bnb_4bit_compute_dtype: float16
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### Framework versions
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- PEFT 0.
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- PEFT 0.
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: bitsandbytes
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- bnb_4bit_compute_dtype: float16
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The following `bitsandbytes` quantization config was used during training:
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+
- quant_method: bitsandbytes
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- bnb_4bit_compute_dtype: float16
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### Framework versions
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- PEFT 0.6.0.dev0
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- PEFT 0.6.0.dev0
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"r": 64,
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"revision": null,
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"target_modules": [
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"
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"
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"
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"
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"down_proj",
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"gate_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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{
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"auto_mapping": null,
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"base_model_name_or_path": "EleutherAI/pythia-1b-deduped",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"r": 64,
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"revision": null,
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"target_modules": [
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"query_key_value",
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"dense",
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"dense_h_to_4h",
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"dense_4h_to_h"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.bin
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size 134264397
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optimizer.pt
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rng_state.pth
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size 14575
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scheduler.pt
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size 627
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size 627
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special_tokens_map.json
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tokenizer_config.json
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"auto_map": {
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"AutoTokenizer": [
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trainer_state.json
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| 159 |
}
|
| 160 |
],
|
| 161 |
-
"
|
|
|
|
| 162 |
"num_train_epochs": 3,
|
| 163 |
-
"
|
|
|
|
| 164 |
"trial_name": null,
|
| 165 |
"trial_params": null
|
| 166 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.353637901861252,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 700,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 11 |
{
|
| 12 |
"epoch": 0.0,
|
| 13 |
"learning_rate": 2e-05,
|
| 14 |
+
"loss": 2.3717,
|
| 15 |
"step": 2
|
| 16 |
},
|
| 17 |
{
|
| 18 |
"epoch": 0.01,
|
| 19 |
"learning_rate": 2e-05,
|
| 20 |
+
"loss": 2.3026,
|
| 21 |
"step": 4
|
| 22 |
},
|
| 23 |
{
|
| 24 |
"epoch": 0.01,
|
| 25 |
"learning_rate": 2e-05,
|
| 26 |
+
"loss": 2.5747,
|
| 27 |
"step": 6
|
| 28 |
},
|
| 29 |
{
|
| 30 |
+
"epoch": 0.02,
|
| 31 |
"learning_rate": 2e-05,
|
| 32 |
+
"loss": 2.4798,
|
| 33 |
"step": 8
|
| 34 |
},
|
| 35 |
{
|
| 36 |
"epoch": 0.02,
|
| 37 |
"learning_rate": 2e-05,
|
| 38 |
+
"loss": 2.4822,
|
| 39 |
"step": 10
|
| 40 |
},
|
| 41 |
{
|
| 42 |
"epoch": 0.02,
|
| 43 |
"learning_rate": 2e-05,
|
| 44 |
+
"loss": 2.3579,
|
| 45 |
"step": 12
|
| 46 |
},
|
| 47 |
{
|
| 48 |
+
"epoch": 0.03,
|
| 49 |
"learning_rate": 2e-05,
|
| 50 |
+
"loss": 2.4288,
|
| 51 |
"step": 14
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"epoch": 0.03,
|
| 55 |
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