fresh-2-layer-qasc8134-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: 14.4843
- Accuracy: 0.4495
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 | 13.9088 | 0.2677 |
No log | 0.78 | 200 | 13.0380 | 0.4141 |
No log | 1.18 | 300 | 14.3170 | 0.4040 |
No log | 1.57 | 400 | 14.8639 | 0.3939 |
1.8256 | 1.96 | 500 | 14.4843 | 0.4495 |
1.8256 | 2.35 | 600 | 13.3427 | 0.4394 |
1.8256 | 2.75 | 700 | 13.3794 | 0.4141 |
1.8256 | 3.14 | 800 | 15.4578 | 0.3838 |
1.8256 | 3.53 | 900 | 13.4042 | 0.4192 |
0.3172 | 3.92 | 1000 | 13.3731 | 0.3990 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0
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