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wikipedia-log-rarity-seed
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.1173
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: 0.0005
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
6.341 | 0.29 | 500 | 5.3349 |
5.0337 | 0.58 | 1000 | 4.9271 |
4.7041 | 0.87 | 1500 | 4.6867 |
4.444 | 1.16 | 2000 | 4.5500 |
4.3043 | 1.46 | 2500 | 4.4394 |
4.1912 | 1.75 | 3000 | 4.3376 |
4.0929 | 2.04 | 3500 | 4.2661 |
3.9 | 2.33 | 4000 | 4.2216 |
3.875 | 2.62 | 4500 | 4.1653 |
3.8306 | 2.91 | 5000 | 4.1144 |
3.6446 | 3.2 | 5500 | 4.1069 |
3.5933 | 3.49 | 6000 | 4.0833 |
3.575 | 3.78 | 6500 | 4.0453 |
3.4898 | 4.07 | 7000 | 4.0457 |
3.3181 | 4.37 | 7500 | 4.0429 |
3.3172 | 4.66 | 8000 | 4.0272 |
3.3049 | 4.95 | 8500 | 4.0142 |
3.1645 | 5.24 | 9000 | 4.0265 |
3.1374 | 5.53 | 9500 | 4.0262 |
3.1302 | 5.82 | 10000 | 4.0250 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3