| | --- |
| | license: mit |
| | base_model: openai-community/gpt2 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: che2 |
| | 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. --> |
| |
|
| | # che2 |
| |
|
| | This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.7417 |
| |
|
| | ## 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: 2e-05 |
| | - train_batch_size: 32 |
| | - eval_batch_size: 32 |
| | - 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 | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | No log | 1.0 | 1 | 2.9747 | |
| | | No log | 2.0 | 2 | 2.9277 | |
| | | No log | 3.0 | 3 | 2.8863 | |
| | | No log | 4.0 | 4 | 2.8503 | |
| | | No log | 5.0 | 5 | 2.8192 | |
| | | No log | 6.0 | 6 | 2.7933 | |
| | | No log | 7.0 | 7 | 2.7725 | |
| | | No log | 8.0 | 8 | 2.7572 | |
| | | No log | 9.0 | 9 | 2.7469 | |
| | | No log | 10.0 | 10 | 2.7417 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.41.2 |
| | - Pytorch 2.3.0+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
| |
|
