fresh-12-layer-swag-distill-of-fresh-12-layer-gpqa
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 14.3157
- Accuracy: 0.3788
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: 16
- eval_batch_size: 16
- seed: 321
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 1.0 | 63 | 14.5865 | 0.2424 |
No log | 2.0 | 126 | 13.4274 | 0.2879 |
No log | 3.0 | 189 | 14.5755 | 0.3434 |
No log | 4.0 | 252 | 14.6965 | 0.3586 |
No log | 5.0 | 315 | 14.6065 | 0.3737 |
No log | 6.0 | 378 | 13.0578 | 0.3737 |
No log | 7.0 | 441 | 13.1651 | 0.3586 |
1.7518 | 8.0 | 504 | 13.7708 | 0.3636 |
1.7518 | 9.0 | 567 | 13.5531 | 0.3535 |
1.7518 | 10.0 | 630 | 13.3979 | 0.3384 |
1.7518 | 11.0 | 693 | 13.8865 | 0.3434 |
1.7518 | 12.0 | 756 | 13.8410 | 0.3687 |
1.7518 | 13.0 | 819 | 15.6234 | 0.3283 |
1.7518 | 14.0 | 882 | 17.4878 | 0.3485 |
1.7518 | 15.0 | 945 | 16.2413 | 0.3081 |
2.2378 | 16.0 | 1008 | 14.6003 | 0.3232 |
2.2378 | 17.0 | 1071 | 16.5984 | 0.3232 |
2.2378 | 18.0 | 1134 | 14.3157 | 0.3788 |
2.2378 | 19.0 | 1197 | 13.5424 | 0.3485 |
2.2378 | 20.0 | 1260 | 13.3978 | 0.3586 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0
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