fresh-2-layer-piqa5000-distill-of-fresh-2-layer-gpqa_EVAL_gpqa
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 13.3644
- Accuracy: 0.4444
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: 32
- eval_batch_size: 32
- seed: 321
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 0.64 | 100 | 16.9077 | 0.2677 |
No log | 1.27 | 200 | 16.7142 | 0.3333 |
No log | 1.91 | 300 | 13.9095 | 0.3131 |
No log | 2.55 | 400 | 16.4004 | 0.3838 |
2.6921 | 3.18 | 500 | 13.3775 | 0.3939 |
2.6921 | 3.82 | 600 | 15.2723 | 0.4091 |
2.6921 | 4.46 | 700 | 13.8835 | 0.3939 |
2.6921 | 5.1 | 800 | 13.7036 | 0.4242 |
2.6921 | 5.73 | 900 | 14.1660 | 0.4293 |
0.7686 | 6.37 | 1000 | 15.2431 | 0.4394 |
0.7686 | 7.01 | 1100 | 14.4889 | 0.3838 |
0.7686 | 7.64 | 1200 | 14.0171 | 0.3889 |
0.7686 | 8.28 | 1300 | 13.3644 | 0.4444 |
0.7686 | 8.92 | 1400 | 13.8387 | 0.4192 |
0.3654 | 9.55 | 1500 | 14.4017 | 0.3838 |
0.3654 | 10.19 | 1600 | 13.9023 | 0.4293 |
0.3654 | 10.83 | 1700 | 15.1041 | 0.4091 |
0.3654 | 11.46 | 1800 | 14.6756 | 0.4141 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0
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