| | --- |
| | license: mit |
| | base_model: gpt2 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: 50000usd |
| | 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. --> |
| |
|
| | # 50000usd |
| |
|
| | This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 6.5760 |
| |
|
| | ## 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: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 64 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - num_epochs: 50 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | No log | 0.8 | 1 | 6.9760 | |
| | | No log | 1.6 | 2 | 6.6552 | |
| | | No log | 2.4 | 3 | 6.5902 | |
| | | No log | 4.0 | 5 | 6.5775 | |
| | | No log | 4.8 | 6 | 6.5818 | |
| | | No log | 5.6 | 7 | 6.5848 | |
| | | No log | 6.4 | 8 | 6.5881 | |
| | | 6.3782 | 8.0 | 10 | 6.5849 | |
| | | 6.3782 | 8.8 | 11 | 6.5811 | |
| | | 6.3782 | 9.6 | 12 | 6.5751 | |
| | | 6.3782 | 10.4 | 13 | 6.5729 | |
| | | 6.3782 | 12.0 | 15 | 6.5785 | |
| | | 6.3782 | 12.8 | 16 | 6.5804 | |
| | | 6.3782 | 13.6 | 17 | 6.5819 | |
| | | 6.3782 | 14.4 | 18 | 6.5836 | |
| | | 6.2143 | 16.0 | 20 | 6.5851 | |
| | | 6.2143 | 16.8 | 21 | 6.5833 | |
| | | 6.2143 | 17.6 | 22 | 6.5813 | |
| | | 6.2143 | 18.4 | 23 | 6.5784 | |
| | | 6.2143 | 20.0 | 25 | 6.5766 | |
| | | 6.2143 | 20.8 | 26 | 6.5764 | |
| | | 6.2143 | 21.6 | 27 | 6.5765 | |
| | | 6.2143 | 22.4 | 28 | 6.5762 | |
| | | 6.2074 | 24.0 | 30 | 6.5763 | |
| | | 6.2074 | 24.8 | 31 | 6.5761 | |
| | | 6.2074 | 25.6 | 32 | 6.5763 | |
| | | 6.2074 | 26.4 | 33 | 6.5757 | |
| | | 6.2074 | 28.0 | 35 | 6.5758 | |
| | | 6.2074 | 28.8 | 36 | 6.5754 | |
| | | 6.2074 | 29.6 | 37 | 6.5760 | |
| | | 6.2074 | 30.4 | 38 | 6.5763 | |
| | | 6.2047 | 32.0 | 40 | 6.5760 | |
| | | 6.2047 | 32.8 | 41 | 6.5764 | |
| | | 6.2047 | 33.6 | 42 | 6.5755 | |
| | | 6.2047 | 34.4 | 43 | 6.5758 | |
| | | 6.2047 | 36.0 | 45 | 6.5759 | |
| | | 6.2047 | 36.8 | 46 | 6.5760 | |
| | | 6.2047 | 37.6 | 47 | 6.5760 | |
| | | 6.2047 | 38.4 | 48 | 6.5761 | |
| | | 6.2026 | 40.0 | 50 | 6.5760 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.38.2 |
| | - Pytorch 2.1.0+cu121 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
| | |
