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gmra_model_gpt2_11082023T140034
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3032
- Accuracy: 0.8937
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 71 | 0.7347 | 0.7487 |
| No log | 1.99 | 142 | 0.4817 | 0.8251 |
| No log | 2.99 | 213 | 0.4200 | 0.8533 |
| No log | 4.0 | 285 | 0.4045 | 0.8524 |
| No log | 5.0 | 356 | 0.3576 | 0.8761 |
| No log | 5.99 | 427 | 0.3160 | 0.8875 |
| No log | 6.99 | 498 | 0.2928 | 0.8998 |
| 0.734 | 8.0 | 570 | 0.3118 | 0.8910 |
| 0.734 | 9.0 | 641 | 0.3101 | 0.8893 |
| 0.734 | 9.96 | 710 | 0.3032 | 0.8937 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
