| | --- |
| | license: mit |
| | base_model: gpt2 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: EmailSubjectLineGeneration |
| | 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. --> |
| |
|
| | # EmailSubjectLineGeneration |
| |
|
| | This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 3.0510 |
| |
|
| | ## 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: 2 |
| | - eval_batch_size: 2 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 1 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 3.3971 | 0.14 | 1000 | 3.2552 | |
| | | 3.319 | 0.28 | 2000 | 3.1699 | |
| | | 3.2276 | 0.42 | 3000 | 3.1263 | |
| | | 3.1392 | 0.55 | 4000 | 3.1027 | |
| | | 3.1896 | 0.69 | 5000 | 3.0755 | |
| | | 3.1603 | 0.83 | 6000 | 3.0630 | |
| | | 3.1791 | 0.97 | 7000 | 3.0510 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.36.2 |
| | - Pytorch 2.1.0+cu121 |
| | - Datasets 2.16.1 |
| | - Tokenizers 0.15.0 |
| |
|
