| | --- |
| | license: apache-2.0 |
| | library_name: peft |
| | tags: |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | base_model: mistralai/Mistral-7B-Instruct-v0.2 |
| | datasets: |
| | - generator |
| | model-index: |
| | - name: Mistral_Sentiment_Classification_2024-04-03 |
| | 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_Sentiment_Classification_2024-04-03 |
| | |
| | This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2962 |
| | |
| | ## 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: 4 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 0.03 |
| | - num_epochs: 5 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 0.4373 | 0.45 | 100 | 0.3295 | |
| | | 0.3287 | 0.9 | 200 | 0.3143 | |
| | | 0.3159 | 1.36 | 300 | 0.3080 | |
| | | 0.3061 | 1.81 | 400 | 0.3027 | |
| | | 0.3104 | 2.26 | 500 | 0.3004 | |
| | | 0.2914 | 2.71 | 600 | 0.2972 | |
| | | 0.2907 | 3.17 | 700 | 0.2973 | |
| | | 0.2799 | 3.62 | 800 | 0.2951 | |
| | | 0.265 | 4.07 | 900 | 0.2966 | |
| | | 0.259 | 4.52 | 1000 | 0.2965 | |
| | | 0.2723 | 4.98 | 1100 | 0.2962 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.10.0 |
| | - Transformers 4.39.3 |
| | - Pytorch 2.1.2+cu121 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
