| | --- |
| | license: other |
| | base_model: facebook/opt-350m |
| | tags: |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | model-index: |
| | - name: content |
| | 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. --> |
| |
|
| | # content |
| |
|
| | This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 3.5972 |
| |
|
| | ## 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: 16 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 2 |
| | - total_train_batch_size: 32 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - num_epochs: 3 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 4.0419 | 0.2 | 50 | 3.8081 | |
| | | 3.816 | 0.4 | 100 | 3.7579 | |
| | | 3.78 | 0.6 | 150 | 3.7016 | |
| | | 3.753 | 0.8 | 200 | 3.6749 | |
| | | 3.6787 | 1.0 | 250 | 3.6132 | |
| | | 2.987 | 1.2 | 300 | 3.6374 | |
| | | 3.0092 | 1.4 | 350 | 3.6043 | |
| | | 3.0088 | 1.6 | 400 | 3.5676 | |
| | | 2.945 | 1.8 | 450 | 3.5404 | |
| | | 2.9204 | 2.0 | 500 | 3.5082 | |
| | | 2.2216 | 2.2 | 550 | 3.6194 | |
| | | 2.212 | 2.4 | 600 | 3.6117 | |
| | | 2.198 | 2.6 | 650 | 3.6019 | |
| | | 2.1787 | 2.8 | 700 | 3.5973 | |
| | | 2.1878 | 3.0 | 750 | 3.5972 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.37.2 |
| | - Pytorch 2.1.0+cu121 |
| | - Datasets 2.17.1 |
| | - Tokenizers 0.15.2 |
| | |
