NL_10000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.8691
- Accuracy: 0.3156
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 | 936 | 5.2840 | 0.1778 |
1.3305 | 2.0 | 1872 | 4.8084 | 0.2136 |
1.1587 | 3.0 | 2808 | 4.5426 | 0.2381 |
1.0705 | 4.0 | 3744 | 4.3351 | 0.2586 |
1.0189 | 5.0 | 4680 | 4.2158 | 0.2728 |
0.9785 | 6.0 | 5616 | 4.1044 | 0.2847 |
0.9466 | 7.0 | 6552 | 4.0235 | 0.2951 |
0.9204 | 8.0 | 7488 | 3.9462 | 0.3051 |
0.8963 | 9.0 | 8424 | 3.8933 | 0.3110 |
0.8771 | 10.0 | 9360 | 3.8691 | 0.3156 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
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