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gpt2-gpt2-TF-weight0.5-epoch5
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.4047
- Cls loss: 0.8943
- Lm loss: 3.9573
- Cls Accuracy: 0.8305
- Cls F1: 0.8305
- Cls Precision: 0.8305
- Cls Recall: 0.8305
- Perplexity: 52.31
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Cls loss | Lm loss | Cls Accuracy | Cls F1 | Cls Precision | Cls Recall | Perplexity |
|---|---|---|---|---|---|---|---|---|---|---|
| 4.4891 | 1.0 | 3470 | 4.2525 | 0.4695 | 4.0177 | 0.8046 | 0.8023 | 0.8093 | 0.8046 | 55.57 |
| 4.2708 | 2.0 | 6940 | 4.2621 | 0.5568 | 3.9835 | 0.8398 | 0.8383 | 0.8438 | 0.8398 | 53.71 |
| 4.1614 | 3.0 | 10410 | 4.2509 | 0.5637 | 3.9689 | 0.8444 | 0.8443 | 0.8443 | 0.8444 | 52.93 |
| 4.0683 | 4.0 | 13880 | 4.3454 | 0.7723 | 3.9591 | 0.8282 | 0.8281 | 0.8281 | 0.8282 | 52.41 |
| 4.0036 | 5.0 | 17350 | 4.4047 | 0.8943 | 3.9573 | 0.8305 | 0.8305 | 0.8305 | 0.8305 | 52.31 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.12.1
