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distilgpt2-finetuned-jhegarty-texts
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.3836
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: 9
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 25 | 4.5809 |
| No log | 2.0 | 50 | 4.4779 |
| No log | 3.0 | 75 | 4.4297 |
| No log | 4.0 | 100 | 4.3971 |
| No log | 5.0 | 125 | 4.3905 |
| No log | 6.0 | 150 | 4.3846 |
| No log | 7.0 | 175 | 4.3848 |
| No log | 8.0 | 200 | 4.3847 |
| No log | 9.0 | 225 | 4.3836 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
