fresh-2-layer-medmcqa20000-distill-of-fresh-2-layer-mmlu_EVAL_mmlu
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 172.8253
- Accuracy: 0.4615
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 | 0.16 | 100 | 200.5686 | 0.248 |
No log | 0.32 | 200 | 201.9314 | 0.324 |
No log | 0.48 | 300 | 181.0271 | 0.372 |
No log | 0.64 | 400 | 206.5410 | 0.364 |
143.7199 | 0.8 | 500 | 184.4744 | 0.42 |
143.7199 | 0.96 | 600 | 181.4189 | 0.402 |
143.7199 | 1.12 | 700 | 186.8587 | 0.414 |
143.7199 | 1.28 | 800 | 195.9331 | 0.396 |
143.7199 | 1.44 | 900 | 182.1619 | 0.426 |
88.7183 | 1.6 | 1000 | 178.5117 | 0.428 |
88.7183 | 1.76 | 1100 | 180.1005 | 0.432 |
88.7183 | 1.92 | 1200 | 177.7711 | 0.418 |
88.7183 | 2.08 | 1300 | 184.9631 | 0.426 |
88.7183 | 2.24 | 1400 | 170.4556 | 0.41 |
71.5399 | 2.4 | 1500 | 180.7118 | 0.446 |
71.5399 | 2.56 | 1600 | 171.3761 | 0.438 |
71.5399 | 2.72 | 1700 | 165.6044 | 0.432 |
71.5399 | 2.88 | 1800 | 168.3776 | 0.456 |
71.5399 | 3.04 | 1900 | 165.8044 | 0.428 |
59.1947 | 3.2 | 2000 | 181.0893 | 0.44 |
59.1947 | 3.36 | 2100 | 174.6589 | 0.454 |
59.1947 | 3.52 | 2200 | 174.3077 | 0.448 |
59.1947 | 3.68 | 2300 | 169.3694 | 0.464 |
59.1947 | 3.84 | 2400 | 172.2202 | 0.47 |
48.8665 | 4.0 | 2500 | 161.0428 | 0.468 |
48.8665 | 4.16 | 2600 | 174.7397 | 0.468 |
48.8665 | 4.32 | 2700 | 167.8463 | 0.462 |
48.8665 | 4.48 | 2800 | 176.5635 | 0.47 |
48.8665 | 4.64 | 2900 | 168.6186 | 0.464 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0
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