metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: TR_200_41
results: []
TR_200_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2885
- Accuracy: 0.6093
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 |
|---|---|---|---|---|
| 0.485 | 1.0 | 2856 | 1.6960 | 0.4942 |
| 0.3846 | 2.0 | 5712 | 1.5430 | 0.5348 |
| 0.3593 | 3.0 | 8568 | 1.4665 | 0.5547 |
| 0.3438 | 4.0 | 11424 | 1.4175 | 0.5707 |
| 0.3341 | 5.0 | 14280 | 1.3928 | 0.5774 |
| 0.3252 | 6.0 | 17136 | 1.3625 | 0.5861 |
| 0.3192 | 7.0 | 19992 | 1.3340 | 0.5943 |
| 0.3112 | 8.0 | 22848 | 1.3175 | 0.5998 |
| 0.3038 | 9.0 | 25704 | 1.3009 | 0.6055 |
| 0.298 | 10.0 | 28560 | 1.2885 | 0.6093 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1