distilgpt2-emailgen-finetuned-custom-mail
This model is a fine-tuned version of postbot/distilgpt2-emailgen on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2633
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 7 | 3.6910 |
| No log | 2.0 | 14 | 3.5847 |
| No log | 3.0 | 21 | 3.5208 |
| No log | 4.0 | 28 | 3.4705 |
| No log | 5.0 | 35 | 3.4275 |
| No log | 6.0 | 42 | 3.3903 |
| No log | 7.0 | 49 | 3.3649 |
| No log | 8.0 | 56 | 3.3466 |
| No log | 9.0 | 63 | 3.3280 |
| No log | 10.0 | 70 | 3.3129 |
| No log | 11.0 | 77 | 3.3008 |
| No log | 12.0 | 84 | 3.2890 |
| No log | 13.0 | 91 | 3.2806 |
| No log | 14.0 | 98 | 3.2754 |
| No log | 15.0 | 105 | 3.2721 |
| No log | 16.0 | 112 | 3.2696 |
| No log | 17.0 | 119 | 3.2663 |
| No log | 18.0 | 126 | 3.2644 |
| No log | 19.0 | 133 | 3.2639 |
| No log | 20.0 | 140 | 3.2633 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
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