NL_50000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.1997
- Accuracy: 0.2997
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 | 848 | 5.4854 | 0.1911 |
1.3692 | 2.0 | 1696 | 4.9672 | 0.2266 |
1.1717 | 3.0 | 2544 | 4.7297 | 0.2465 |
1.0915 | 4.0 | 3392 | 4.5808 | 0.2606 |
1.0455 | 5.0 | 4240 | 4.4883 | 0.2690 |
1.0097 | 6.0 | 5088 | 4.3928 | 0.2784 |
1.0097 | 7.0 | 5936 | 4.3270 | 0.2845 |
0.9791 | 8.0 | 6784 | 4.2612 | 0.2923 |
0.9538 | 9.0 | 7632 | 4.2181 | 0.2984 |
0.9328 | 10.0 | 8480 | 4.1997 | 0.2997 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
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