EN_20000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3543
- Accuracy: 0.2705
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 | 904 | 5.1191 | 0.1985 |
1.2803 | 2.0 | 1808 | 4.9035 | 0.2160 |
1.1443 | 3.0 | 2712 | 4.8314 | 0.2190 |
1.1125 | 4.0 | 3616 | 4.7713 | 0.2255 |
1.099 | 5.0 | 4520 | 4.6957 | 0.2347 |
1.0789 | 6.0 | 5424 | 4.6219 | 0.2427 |
1.0579 | 7.0 | 6328 | 4.5466 | 0.2507 |
1.0332 | 8.0 | 7232 | 4.4592 | 0.2599 |
1.0096 | 9.0 | 8136 | 4.3927 | 0.2670 |
0.9929 | 10.0 | 9040 | 4.3543 | 0.2705 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
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