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gpt2-NaturalQuestions_2000-ep20
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3117
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: 48
- eval_batch_size: 96
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.77 | 1.19 | 50 | 1.3795 |
| 1.3768 | 2.38 | 100 | 1.3164 |
| 1.2208 | 3.57 | 150 | 1.2818 |
| 1.1183 | 4.76 | 200 | 1.2704 |
| 1.0477 | 5.95 | 250 | 1.2626 |
| 0.9721 | 7.14 | 300 | 1.2632 |
| 0.914 | 8.33 | 350 | 1.2670 |
| 0.8714 | 9.52 | 400 | 1.2714 |
| 0.835 | 10.71 | 450 | 1.2737 |
| 0.7959 | 11.9 | 500 | 1.2799 |
| 0.7513 | 13.1 | 550 | 1.2892 |
| 0.7323 | 14.29 | 600 | 1.2951 |
| 0.7097 | 15.48 | 650 | 1.3033 |
| 0.6948 | 16.67 | 700 | 1.3060 |
| 0.6764 | 17.86 | 750 | 1.3094 |
| 0.6655 | 19.05 | 800 | 1.3115 |
Framework versions
- Transformers 4.29.2
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.13.3
