distilgpt2-SCAN
This model is a fine-tuned version of jjszpak/distilgpt2-SCAN on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1280
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 395 | 0.1359 |
| 0.129 | 2.0 | 790 | 0.1278 |
| 0.1275 | 3.0 | 1185 | 0.1298 |
| 0.1265 | 4.0 | 1580 | 0.1281 |
| 0.1265 | 5.0 | 1975 | 0.1280 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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