fresh-2-layer-medmcqa2000-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: 10.1529
- Accuracy: 0.5909
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 | 1.59 | 100 | 13.5993 | 0.3737 |
No log | 3.17 | 200 | 12.1119 | 0.4596 |
No log | 4.76 | 300 | 11.4081 | 0.4646 |
No log | 6.35 | 400 | 10.7470 | 0.5152 |
2.9844 | 7.94 | 500 | 10.2091 | 0.5152 |
2.9844 | 9.52 | 600 | 11.1542 | 0.5505 |
2.9844 | 11.11 | 700 | 10.3355 | 0.5404 |
2.9844 | 12.7 | 800 | 10.1297 | 0.5404 |
2.9844 | 14.29 | 900 | 10.4198 | 0.5303 |
0.4746 | 15.87 | 1000 | 10.0845 | 0.5556 |
0.4746 | 17.46 | 1100 | 10.2199 | 0.5404 |
0.4746 | 19.05 | 1200 | 10.1049 | 0.5404 |
0.4746 | 20.63 | 1300 | 10.1543 | 0.5404 |
0.4746 | 22.22 | 1400 | 10.3127 | 0.5606 |
0.2243 | 23.81 | 1500 | 10.1529 | 0.5909 |
0.2243 | 25.4 | 1600 | 10.0761 | 0.5707 |
0.2243 | 26.98 | 1700 | 10.3999 | 0.5859 |
0.2243 | 28.57 | 1800 | 10.1831 | 0.5859 |
0.2243 | 30.16 | 1900 | 10.2053 | 0.5909 |
0.1395 | 31.75 | 2000 | 10.4780 | 0.5455 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0
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