| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: model-v3 |
| | 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. --> |
| |
|
| | # model-v3 |
| |
|
| | This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 5.0643 |
| |
|
| | ## 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: 0.0001372 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 1268669541 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 20 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 2.7294 | 1.0 | 39 | 3.5148 | |
| | | 2.6148 | 2.0 | 78 | 3.5284 | |
| | | 2.157 | 3.0 | 117 | 3.6368 | |
| | | 2.1294 | 4.0 | 156 | 3.6644 | |
| | | 1.9443 | 5.0 | 195 | 3.7962 | |
| | | 1.8812 | 6.0 | 234 | 3.8349 | |
| | | 1.6243 | 7.0 | 273 | 4.0135 | |
| | | 1.5363 | 8.0 | 312 | 4.1426 | |
| | | 1.3983 | 9.0 | 351 | 4.1834 | |
| | | 1.3106 | 10.0 | 390 | 4.1304 | |
| | | 0.9305 | 11.0 | 429 | 4.3527 | |
| | | 1.0721 | 12.0 | 468 | 4.4012 | |
| | | 0.8783 | 13.0 | 507 | 4.5971 | |
| | | 0.8152 | 14.0 | 546 | 4.6419 | |
| | | 0.6485 | 15.0 | 585 | 4.7665 | |
| | | 0.6553 | 16.0 | 624 | 4.9744 | |
| | | 0.5309 | 17.0 | 663 | 4.8834 | |
| | | 0.5271 | 18.0 | 702 | 4.9749 | |
| | | 0.4727 | 19.0 | 741 | 5.0540 | |
| | | 0.4828 | 20.0 | 780 | 5.0643 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.26.0 |
| | - Pytorch 1.13.1 |
| | - Datasets 2.9.0 |
| | - Tokenizers 0.13.2 |
| |
|
