Commit
·
e1131df
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Parent(s):
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Upload folder using huggingface_hub
Browse files- README.md +9 -0
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- checkpoint-125/README.md +32 -0
- checkpoint-125/adapter_config.json +21 -0
- checkpoint-125/adapter_model.bin +3 -0
- checkpoint-125/optimizer.pt +3 -0
- checkpoint-125/rng_state.pth +3 -0
- checkpoint-125/scheduler.pt +3 -0
- checkpoint-125/trainer_state.json +400 -0
- checkpoint-125/training_args.bin +3 -0
- config.json +26 -0
- generation_config.json +10 -0
- pytorch_model-00001-of-00002.bin +3 -0
- pytorch_model-00002-of-00002.bin +3 -0
- pytorch_model.bin.index.json +330 -0
- runs/Aug10_04-58-01_4f7a7c74251c/events.out.tfevents.1691643481.4f7a7c74251c.7639.0 +3 -0
- runs/Aug10_05-09-03_4f7a7c74251c/events.out.tfevents.1691644144.4f7a7c74251c.10668.0 +3 -0
- runs/Aug10_05-16-30_4f7a7c74251c/events.out.tfevents.1691644590.4f7a7c74251c.12569.0 +3 -0
- runs/Aug10_05-50-07_4f7a7c74251c/events.out.tfevents.1691646607.4f7a7c74251c.20876.0 +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +33 -0
- training_args.bin +3 -0
README.md
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---
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tags:
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- autotrain
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- text-generation
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widget:
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- text: "I love AutoTrain because "
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---
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# Model Trained Using AutoTrain
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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": "meta-llama/Llama-2-7b-hf",
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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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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "SEQ_CLS"
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:f79ac5092805f305029412dc49ea6e5354edf6b3ad014a649d301ba3b4ab964c
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size 33617169
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checkpoint-125/README.md
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---
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library_name: peft
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---
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## Training procedure
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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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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: False
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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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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float16
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### Framework versions
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- PEFT 0.4.0
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- PEFT 0.4.0
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checkpoint-125/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "meta-llama/Llama-2-7b-hf",
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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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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "SEQ_CLS"
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}
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checkpoint-125/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:f79ac5092805f305029412dc49ea6e5354edf6b3ad014a649d301ba3b4ab964c
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size 33617169
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checkpoint-125/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:b511105df69f8f918001c2fc8ab7d30e1bab03399ea5834a16ed488b0133afe3
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size 67250117
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checkpoint-125/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:dd1884b1d0b28432731e176aaa5398ae0ca86474b4b03eae1876815df4401503
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size 14575
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checkpoint-125/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:65d09ad114db414f96f4f9a378576ff0cade9219c552952f62e0df15be907c53
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size 627
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checkpoint-125/trainer_state.json
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.0838896855711937,
|
| 3 |
+
"best_model_checkpoint": "fb-model-test-1/checkpoint-125",
|
| 4 |
+
"epoch": 1.0,
|
| 5 |
+
"global_step": 125,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.02,
|
| 12 |
+
"learning_rate": 1.5384615384615387e-05,
|
| 13 |
+
"loss": 219.8123,
|
| 14 |
+
"step": 2
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.03,
|
| 18 |
+
"learning_rate": 3.0769230769230774e-05,
|
| 19 |
+
"loss": 224.7772,
|
| 20 |
+
"step": 4
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.05,
|
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