fresh-8-layer-gpqa
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2286
- Accuracy: 0.9141
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 | 13 | 1.3863 | 0.2374 |
No log | 2.0 | 26 | 1.3859 | 0.2727 |
No log | 3.0 | 39 | 1.3854 | 0.3131 |
No log | 4.0 | 52 | 1.3852 | 0.3182 |
No log | 5.0 | 65 | 1.3851 | 0.3081 |
No log | 6.0 | 78 | 1.3843 | 0.2879 |
No log | 7.0 | 91 | 1.3833 | 0.3232 |
No log | 8.0 | 104 | 1.3796 | 0.3232 |
No log | 9.0 | 117 | 1.3446 | 0.4091 |
No log | 10.0 | 130 | 1.3817 | 0.6212 |
No log | 11.0 | 143 | 1.3829 | 0.6616 |
No log | 12.0 | 156 | 1.2989 | 0.6717 |
No log | 13.0 | 169 | 1.0802 | 0.4848 |
No log | 14.0 | 182 | 0.9971 | 0.6465 |
No log | 15.0 | 195 | 0.8610 | 0.7020 |
No log | 16.0 | 208 | 0.5707 | 0.7879 |
No log | 17.0 | 221 | 0.4044 | 0.8333 |
No log | 18.0 | 234 | 0.3185 | 0.8687 |
No log | 19.0 | 247 | 0.2915 | 0.8788 |
No log | 20.0 | 260 | 0.2286 | 0.9141 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0
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