TR_13222_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.4819
- Accuracy: 0.2913
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: 0.0006
- train_batch_size: 32
- eval_batch_size: 32
- seed: 41
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10.0
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 1.0 | 839 | 5.7348 | 0.1989 |
1.4608 | 2.0 | 1678 | 5.4191 | 0.2107 |
1.2692 | 3.0 | 2517 | 5.1890 | 0.2246 |
1.198 | 4.0 | 3356 | 4.9807 | 0.2392 |
1.14 | 5.0 | 4195 | 4.8342 | 0.2530 |
1.0965 | 6.0 | 5034 | 4.7234 | 0.2629 |
1.0965 | 7.0 | 5873 | 4.6437 | 0.2730 |
1.0589 | 8.0 | 6712 | 4.5623 | 0.2803 |
1.0308 | 9.0 | 7551 | 4.5085 | 0.2873 |
1.0071 | 10.0 | 8390 | 4.4819 | 0.2913 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
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