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gpt2-NaturalQuestions_4000-ep20
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2717
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 |
|---|---|---|---|
| 1.7832 | 0.6 | 50 | 1.3857 |
| 1.4409 | 1.19 | 100 | 1.3070 |
| 1.312 | 1.79 | 150 | 1.2716 |
| 1.2412 | 2.38 | 200 | 1.2514 |
| 1.1902 | 2.98 | 250 | 1.2283 |
| 1.1171 | 3.57 | 300 | 1.2307 |
| 1.0728 | 4.17 | 350 | 1.2228 |
| 1.022 | 4.76 | 400 | 1.2145 |
| 1.0001 | 5.36 | 450 | 1.2225 |
| 0.9645 | 5.95 | 500 | 1.2183 |
| 0.9175 | 6.55 | 550 | 1.2185 |
| 0.911 | 7.14 | 600 | 1.2179 |
| 0.877 | 7.74 | 650 | 1.2218 |
| 0.8365 | 8.33 | 700 | 1.2260 |
| 0.8387 | 8.93 | 750 | 1.2223 |
| 0.8047 | 9.52 | 800 | 1.2289 |
| 0.7822 | 10.12 | 850 | 1.2304 |
| 0.7652 | 10.71 | 900 | 1.2353 |
| 0.7502 | 11.31 | 950 | 1.2370 |
| 0.7275 | 11.9 | 1000 | 1.2411 |
| 0.6998 | 12.5 | 1050 | 1.2515 |
| 0.7128 | 13.1 | 1100 | 1.2465 |
| 0.6865 | 13.69 | 1150 | 1.2553 |
| 0.6748 | 14.29 | 1200 | 1.2544 |
| 0.6661 | 14.88 | 1250 | 1.2563 |
| 0.6636 | 15.48 | 1300 | 1.2592 |
| 0.6403 | 16.07 | 1350 | 1.2630 |
| 0.6309 | 16.67 | 1400 | 1.2679 |
| 0.6281 | 17.26 | 1450 | 1.2667 |
| 0.6237 | 17.86 | 1500 | 1.2692 |
| 0.621 | 18.45 | 1550 | 1.2708 |
| 0.6195 | 19.05 | 1600 | 1.2711 |
| 0.6123 | 19.64 | 1650 | 1.2713 |
Framework versions
- Transformers 4.29.2
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.13.3
