feat: train with sorted label to make training behavior reproducible at evaluation time
ee6d271
verified
| library_name: transformers | |
| license: mit | |
| base_model: openai-gpt | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: gpt_1_sequence_classification_finetune | |
| 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. --> | |
| # gpt_1_sequence_classification_finetune | |
| This model is a fine-tuned version of [openai-gpt](https://huggingface.co/openai-gpt) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.3295 | |
| ## 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: 5.38312346311055e-05 | |
| - train_batch_size: 64 | |
| - eval_batch_size: 64 | |
| - seed: 42 | |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments | |
| - lr_scheduler_type: linear | |
| - num_epochs: 15 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | 1.6661 | 1.0 | 12 | 1.4575 | | |
| | 1.3696 | 2.0 | 24 | 1.0023 | | |
| | 0.6977 | 3.0 | 36 | 0.5564 | | |
| | 0.3751 | 4.0 | 48 | 0.4573 | | |
| | 0.2528 | 5.0 | 60 | 0.3803 | | |
| | 0.1503 | 6.0 | 72 | 0.2699 | | |
| | 0.0863 | 7.0 | 84 | 0.2888 | | |
| | 0.0547 | 8.0 | 96 | 0.3295 | | |
| ### Framework versions | |
| - Transformers 4.49.0 | |
| - Pytorch 2.6.0 | |
| - Datasets 3.4.0 | |
| - Tokenizers 0.21.1 | |