| --- |
| 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_1 |
| 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_1 |
| |
| 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: 0.1697 |
| |
| ## 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: 0.0002 |
| - train_batch_size: 4 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.1269 | 1.05 | 20 | 0.9776 | |
| | 0.7172 | 2.11 | 40 | 0.6484 | |
| | 0.3904 | 3.16 | 60 | 0.4038 | |
| | 0.2259 | 4.21 | 80 | 0.2688 | |
| | 0.1255 | 5.26 | 100 | 0.2077 | |
| | 0.0844 | 6.32 | 120 | 0.1844 | |
| | 0.0702 | 7.37 | 140 | 0.1669 | |
| | 0.0596 | 8.42 | 160 | 0.1673 | |
| | 0.0471 | 9.47 | 180 | 0.1629 | |
| | 0.0378 | 10.53 | 200 | 0.1697 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.8.2 |
| - Transformers 4.37.2 |
| - Pytorch 2.2.0+cu121 |
| - Datasets 2.17.0 |
| - Tokenizers 0.15.1 |
