Commit
•
09d0945
1
Parent(s):
15a0216
Model save
Browse files- README.md +74 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +523 -0
README.md
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---
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base_model: mistralai/Mistral-7B-Instruct-v0.3
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library_name: peft
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license: apache-2.0
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: Mistral-7B_task-1_120-samples_config-1_auto
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Mistral-7B_task-1_120-samples_config-1_auto
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3290
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.0952 | 1.0 | 11 | 0.9500 |
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| 0.738 | 2.0 | 22 | 0.8334 |
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| 0.6322 | 3.0 | 33 | 0.7996 |
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| 0.4414 | 4.0 | 44 | 0.8437 |
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| 0.2493 | 5.0 | 55 | 0.9666 |
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| 0.1348 | 6.0 | 66 | 1.2306 |
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| 0.1156 | 7.0 | 77 | 1.2282 |
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| 0.0976 | 8.0 | 88 | 1.3055 |
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| 0.0519 | 9.0 | 99 | 1.2516 |
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| 0.0399 | 10.0 | 110 | 1.3290 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.1.2+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 167832240
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:f4aa621d4999bb7285deca6ea715323af8cfe8de85fb2e1585658f24c2cac858
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size 167832240
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all_results.json
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{
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"epoch": 10.0,
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"total_flos": 1.4501983775883264e+16,
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"train_loss": 0.3803161793134429,
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"train_runtime": 1074.7679,
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"train_samples": 88,
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"train_samples_per_second": 4.094,
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"train_steps_per_second": 0.512
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}
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train_results.json
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{
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"epoch": 10.0,
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"total_flos": 1.4501983775883264e+16,
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"train_loss": 0.3803161793134429,
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"train_runtime": 1074.7679,
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"train_samples": 88,
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"train_samples_per_second": 4.094,
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"train_steps_per_second": 0.512
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}
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trainer_state.json
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| 1 |
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{
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| 2 |
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"best_metric": 0.7995870113372803,
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| 3 |
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"best_model_checkpoint": "data/Mistral-7B_task-1_120-samples_config-1_auto/checkpoint-33",
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| 4 |
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"epoch": 10.0,
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| 5 |
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"eval_steps": 500,
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| 6 |
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"global_step": 110,
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| 7 |
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"is_hyper_param_search": false,
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| 8 |
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"is_local_process_zero": true,
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| 9 |
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"is_world_process_zero": true,
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| 10 |
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"log_history": [
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