EN_50000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3035
- Accuracy: 0.2843
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 | 879 | 5.1363 | 0.2075 |
1.2933 | 2.0 | 1758 | 4.8442 | 0.2329 |
1.1247 | 3.0 | 2637 | 4.7518 | 0.2381 |
1.0823 | 4.0 | 3516 | 4.7017 | 0.2449 |
1.0676 | 5.0 | 4395 | 4.6547 | 0.2471 |
1.0504 | 6.0 | 5274 | 4.5688 | 0.2568 |
1.0252 | 7.0 | 6153 | 4.4703 | 0.2681 |
0.9998 | 8.0 | 7032 | 4.3841 | 0.2754 |
0.9998 | 9.0 | 7911 | 4.3409 | 0.2797 |
0.9762 | 10.0 | 8790 | 4.3035 | 0.2843 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
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