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starbot-transformers
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.4079
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: 0.005
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3942 | 1.0 | 2992 | 3.3385 |
| 3.2566 | 2.0 | 5984 | 3.2760 |
| 3.4112 | 3.0 | 8976 | 3.4710 |
| 3.4887 | 4.0 | 11968 | 3.5264 |
| 3.4856 | 5.0 | 14960 | 3.5181 |
| 3.4359 | 6.0 | 17952 | 3.5079 |
| 3.4115 | 7.0 | 20944 | 3.4954 |
| 3.3657 | 8.0 | 23936 | 3.4482 |
| 3.3018 | 9.0 | 26928 | 3.4207 |
| 3.2435 | 10.0 | 29920 | 3.4079 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2
