| | --- |
| | license: mit |
| | base_model: gpt2 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - ag_news |
| | model-index: |
| | - name: sft_cml4 |
| | 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. --> |
| |
|
| | # sft_cml4 |
| | |
| | This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the ag_news dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 3.3980 |
| |
|
| | ## 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 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - num_epochs: 2 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 3.7271 | 0.32 | 200 | 3.6065 | |
| | | 3.346 | 0.64 | 400 | 3.4732 | |
| | | 3.0685 | 0.96 | 600 | 3.3985 | |
| | | 2.1435 | 1.28 | 800 | 3.4433 | |
| | | 1.9834 | 1.6 | 1000 | 3.4203 | |
| | | 1.8937 | 1.92 | 1200 | 3.3980 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.34.1 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.4 |
| | - Tokenizers 0.14.0 |
| |
|
