TR_30000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.9108
- Accuracy: 0.2820
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 | 773 | 6.1767 | 0.2076 |
1.5316 | 2.0 | 1546 | 5.8019 | 0.2191 |
1.3358 | 3.0 | 2319 | 5.5264 | 0.2356 |
1.2504 | 4.0 | 3092 | 5.3448 | 0.2450 |
1.2504 | 5.0 | 3865 | 5.2434 | 0.2522 |
1.1948 | 6.0 | 4638 | 5.1310 | 0.2616 |
1.153 | 7.0 | 5411 | 5.0480 | 0.2680 |
1.1189 | 8.0 | 6184 | 4.9893 | 0.2739 |
1.1189 | 9.0 | 6957 | 4.9380 | 0.2789 |
1.0894 | 10.0 | 7730 | 4.9108 | 0.2820 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
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