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test_1001_noRolls
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0985
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 2000
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0971 | 0.05 | 5000 | 0.0994 |
| 0.097 | 0.1 | 10000 | 0.0987 |
| 0.0963 | 0.15 | 15000 | 0.0995 |
| 0.0954 | 0.21 | 20000 | 0.0984 |
| 0.0942 | 0.26 | 25000 | 0.0987 |
| 0.0934 | 0.31 | 30000 | 0.0983 |
| 0.0927 | 0.36 | 35000 | 0.0979 |
| 0.0919 | 0.41 | 40000 | 0.0982 |
| 0.091 | 0.46 | 45000 | 0.0977 |
| 0.0901 | 0.51 | 50000 | 0.0983 |
| 0.0895 | 0.56 | 55000 | 0.0981 |
| 0.0892 | 0.62 | 60000 | 0.0985 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
