| | --- |
| | license: mit |
| | base_model: gpt2 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: gpt2-rm-tldr |
| | 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-rm-tldr |
| |
|
| | 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: 1.0106 |
| | - Accuracy: 0.5547 |
| |
|
| | ## 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: 5e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | | 0.6765 | 1.0 | 2626 | 0.6814 | 0.5654 | |
| | | 0.6797 | 2.0 | 5252 | 0.6723 | 0.5821 | |
| | | 0.6248 | 3.0 | 7878 | 0.6872 | 0.5774 | |
| | | 0.5794 | 4.0 | 10504 | 0.7225 | 0.5658 | |
| | | 0.4361 | 5.0 | 13130 | 0.7765 | 0.5583 | |
| | | 0.4558 | 6.0 | 15756 | 0.7988 | 0.5635 | |
| | | 0.5247 | 7.0 | 18382 | 0.8247 | 0.5581 | |
| | | 0.4311 | 8.0 | 21008 | 0.8917 | 0.5545 | |
| | | 0.426 | 9.0 | 23634 | 0.9631 | 0.5527 | |
| | | 0.3895 | 10.0 | 26260 | 1.0106 | 0.5547 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.36.2 |
| | - Pytorch 2.1.2+cu121 |
| | - Datasets 2.15.0 |
| | - Tokenizers 0.15.0 |
| |
|
