fresh-2-layer-copa-distill-of-fresh-2-layer-gpqa
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 22.6646
- Accuracy: 0.3384
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 | 22.9294 | 0.2121 |
No log | 2.0 | 126 | 30.4497 | 0.2828 |
No log | 3.0 | 189 | 25.8786 | 0.2576 |
No log | 4.0 | 252 | 21.7507 | 0.2828 |
No log | 5.0 | 315 | 20.2591 | 0.2929 |
No log | 6.0 | 378 | 20.1541 | 0.3030 |
No log | 7.0 | 441 | 22.8909 | 0.3283 |
2.0303 | 8.0 | 504 | 22.0673 | 0.2626 |
2.0303 | 9.0 | 567 | 22.4491 | 0.2980 |
2.0303 | 10.0 | 630 | 22.6646 | 0.3384 |
2.0303 | 11.0 | 693 | 17.0362 | 0.3182 |
2.0303 | 12.0 | 756 | 18.8820 | 0.3131 |
2.0303 | 13.0 | 819 | 17.8284 | 0.2980 |
2.0303 | 14.0 | 882 | 19.4531 | 0.2828 |
2.0303 | 15.0 | 945 | 18.5961 | 0.2727 |
0.31 | 16.0 | 1008 | 18.4590 | 0.2626 |
0.31 | 17.0 | 1071 | 18.7574 | 0.2828 |
0.31 | 18.0 | 1134 | 18.9932 | 0.2828 |
0.31 | 19.0 | 1197 | 18.0842 | 0.2980 |
0.31 | 20.0 | 1260 | 18.4719 | 0.2929 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0
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