DE_30000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.5087
- Accuracy: 0.2631
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 | 888 | 5.6334 | 0.1732 |
1.3983 | 2.0 | 1776 | 5.1980 | 0.2028 |
1.2258 | 3.0 | 2664 | 5.0139 | 0.2169 |
1.153 | 4.0 | 3552 | 4.9419 | 0.2234 |
1.1229 | 5.0 | 4440 | 4.8465 | 0.2284 |
1.0969 | 6.0 | 5328 | 4.7703 | 0.2369 |
1.0727 | 7.0 | 6216 | 4.6852 | 0.2446 |
1.0482 | 8.0 | 7104 | 4.6122 | 0.2514 |
1.0482 | 9.0 | 7992 | 4.5408 | 0.2602 |
1.0248 | 10.0 | 8880 | 4.5087 | 0.2631 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
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