DE_10000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.0152
- Accuracy: 0.2991
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 | 970 | 5.3457 | 0.1685 |
1.3552 | 2.0 | 1940 | 4.9366 | 0.1944 |
1.1815 | 3.0 | 2910 | 4.7667 | 0.2111 |
1.1135 | 4.0 | 3880 | 4.5865 | 0.2287 |
1.0731 | 5.0 | 4850 | 4.4256 | 0.2473 |
1.0292 | 6.0 | 5820 | 4.2916 | 0.2623 |
0.9885 | 7.0 | 6790 | 4.1749 | 0.2768 |
0.9548 | 8.0 | 7760 | 4.0981 | 0.2874 |
0.9283 | 9.0 | 8730 | 4.0419 | 0.2961 |
0.9064 | 10.0 | 9700 | 4.0152 | 0.2991 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
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