| license: mit | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - generator | |
| model-index: | |
| - name: gpt2-concat | |
| 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. --> | |
| # gpt2-concat | |
| This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the generator dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 4.2281 | |
| ## 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: 64 | |
| - eval_batch_size: 64 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 8 | |
| - total_train_batch_size: 512 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_steps: 1000 | |
| - num_epochs: 9 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | 6.3219 | 2.31 | 500 | 5.0318 | | |
| | 4.5653 | 4.63 | 1000 | 4.4568 | | |
| | 3.9648 | 6.94 | 1500 | 4.2281 | | |
| ### Framework versions | |
| - Transformers 4.26.1 | |
| - Pytorch 1.11.0+cu113 | |
| - Datasets 2.13.0 | |
| - Tokenizers 0.13.3 | |