RU_5000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.6599
- Accuracy: 0.3491
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 |
|---|---|---|---|---|
| 1.3059 | 1.0 | 1078 | 4.9954 | 0.1736 |
| 1.1451 | 2.0 | 2156 | 4.7373 | 0.1922 |
| 1.0836 | 3.0 | 3234 | 4.4236 | 0.2366 |
| 1.0047 | 4.0 | 4312 | 4.1600 | 0.2740 |
| 0.946 | 5.0 | 5390 | 3.9872 | 0.2974 |
| 0.9072 | 6.0 | 6468 | 3.8856 | 0.3124 |
| 0.8782 | 7.0 | 7546 | 3.7939 | 0.3268 |
| 0.8536 | 8.0 | 8624 | 3.7305 | 0.3372 |
| 0.8319 | 9.0 | 9702 | 3.6857 | 0.3451 |
| 0.8148 | 10.0 | 10780 | 3.6599 | 0.3491 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
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