| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| datasets: |
| - generator |
| base_model: mistralai/Mistral-7B-Instruct-v0.1 |
| model-index: |
| - name: mistral_instruct_generation |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # mistral_instruct_generation |
|
|
| This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the generator dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.0225 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 2.5e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: constant |
| - lr_scheduler_warmup_steps: 0.03 |
| - training_steps: 200 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 2.1172 | 1.54 | 20 | 1.9621 | |
| | 1.7921 | 3.08 | 40 | 1.6326 | |
| | 1.468 | 4.62 | 60 | 1.3290 | |
| | 1.2425 | 6.15 | 80 | 1.1762 | |
| | 1.1558 | 7.69 | 100 | 1.1167 | |
| | 1.0912 | 9.23 | 120 | 1.0837 | |
| | 1.0749 | 10.77 | 140 | 1.0632 | |
| | 1.0534 | 12.31 | 160 | 1.0472 | |
| | 1.0213 | 13.85 | 180 | 1.0332 | |
| | 0.9962 | 15.38 | 200 | 1.0225 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.7.1 |
| - Transformers 4.37.1 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.1 |
