| | --- |
| | license: mit |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: gpt2chess_scratch |
| | 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. --> |
| |
|
| | # gpt2chess_scratch |
| | |
| | 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: 0.6902 |
| | |
| | ## 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 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 256 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_steps: 1000 |
| | - num_epochs: 5 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 1.3139 | 0.7 | 5000 | 0.9635 | |
| | | 0.9239 | 1.4 | 10000 | 0.8407 | |
| | | 0.8367 | 2.1 | 15000 | 0.7807 | |
| | | 0.7813 | 2.8 | 20000 | 0.7415 | |
| | | 0.7373 | 3.5 | 25000 | 0.7127 | |
| | | 0.7073 | 4.2 | 30000 | 0.6955 | |
| | | 0.6853 | 4.9 | 35000 | 0.6902 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.28.1 |
| | - Pytorch 2.0.0+cu117 |
| | - Datasets 2.11.0 |
| | - Tokenizers 0.13.3 |
| | |
