fresh-2-layer-qasc8134-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: 203.4298
- Accuracy: 0.3801
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 | 0.39 | 100 | 201.4073 | 0.222 |
No log | 0.78 | 200 | 207.1151 | 0.33 |
No log | 1.18 | 300 | 203.8212 | 0.328 |
No log | 1.57 | 400 | 204.8179 | 0.39 |
104.9916 | 1.96 | 500 | 224.3691 | 0.402 |
104.9916 | 2.35 | 600 | 190.8359 | 0.404 |
104.9916 | 2.75 | 700 | 199.6778 | 0.414 |
104.9916 | 3.14 | 800 | 196.7796 | 0.43 |
104.9916 | 3.53 | 900 | 190.6462 | 0.386 |
28.8659 | 3.92 | 1000 | 187.5610 | 0.402 |
28.8659 | 4.31 | 1100 | 186.6063 | 0.426 |
28.8659 | 4.71 | 1200 | 195.5366 | 0.416 |
28.8659 | 5.1 | 1300 | 192.5193 | 0.412 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0
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