metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: EN_200_41
results: []
EN_200_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3528
- Accuracy: 0.5924
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 |
|---|---|---|---|---|
| 0.4984 | 1.0 | 2708 | 1.8213 | 0.4633 |
| 0.408 | 2.0 | 5416 | 1.6398 | 0.5107 |
| 0.3764 | 3.0 | 8124 | 1.5575 | 0.5334 |
| 0.3628 | 4.0 | 10832 | 1.5048 | 0.5470 |
| 0.3505 | 5.0 | 13540 | 1.4624 | 0.5583 |
| 0.3399 | 6.0 | 16248 | 1.4278 | 0.5712 |
| 0.3334 | 7.0 | 18956 | 1.4061 | 0.5766 |
| 0.3248 | 8.0 | 21664 | 1.3806 | 0.5834 |
| 0.3178 | 9.0 | 24372 | 1.3640 | 0.5893 |
| 0.311 | 10.0 | 27080 | 1.3528 | 0.5924 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1