metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-swag73545-distill-of-fresh-2-layer-gpqa_EVAL_gpqa
results: []
fresh-2-layer-swag73545-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: 13.2860
- Accuracy: 0.5
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 | 0.04 | 100 | 15.3746 | 0.3030 |
No log | 0.09 | 200 | 15.8323 | 0.3788 |
No log | 0.13 | 300 | 18.5973 | 0.3586 |
No log | 0.17 | 400 | 18.2249 | 0.3788 |
2.3639 | 0.22 | 500 | 17.3930 | 0.4141 |
2.3639 | 0.26 | 600 | 12.7479 | 0.4242 |
2.3639 | 0.3 | 700 | 13.6916 | 0.4646 |
2.3639 | 0.35 | 800 | 13.2860 | 0.5 |
2.3639 | 0.39 | 900 | 13.5986 | 0.4596 |
0.6733 | 0.43 | 1000 | 12.9991 | 0.4646 |
0.6733 | 0.48 | 1100 | 12.2002 | 0.4697 |
0.6733 | 0.52 | 1200 | 11.8489 | 0.4848 |
0.6733 | 0.57 | 1300 | 12.4483 | 0.4949 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0