| --- |
| license: mit |
| base_model: gpt2 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: pretrained_gpt2 |
| 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. --> |
|
|
| # pretrained_gpt2 |
| |
| This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 5.4616 |
| |
| ## 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: 0.0005 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 6.48 | 1.17 | 500 | 6.1099 | |
| | 5.5792 | 2.35 | 1000 | 5.7804 | |
| | 5.1247 | 3.52 | 1500 | 5.6199 | |
| | 4.7774 | 4.69 | 2000 | 5.5176 | |
| | 4.4701 | 5.87 | 2500 | 5.4713 | |
| | 4.1836 | 7.04 | 3000 | 5.4591 | |
| | 3.9183 | 8.22 | 3500 | 5.4620 | |
| | 3.7163 | 9.39 | 4000 | 5.4616 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.35.2 |
| - Pytorch 2.1.1 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
| |
