metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: AR_20000_41
results: []
AR_20000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.0999
- Accuracy: 0.2370
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 | 851 | 6.3643 | 0.1492 |
| 1.5936 | 2.0 | 1702 | 6.0323 | 0.1620 |
| 1.4068 | 3.0 | 2553 | 5.7425 | 0.1821 |
| 1.3224 | 4.0 | 3404 | 5.5530 | 0.1944 |
| 1.2597 | 5.0 | 4255 | 5.4375 | 0.2044 |
| 1.2168 | 6.0 | 5106 | 5.3256 | 0.2138 |
| 1.2168 | 7.0 | 5957 | 5.2476 | 0.2211 |
| 1.1808 | 8.0 | 6808 | 5.1822 | 0.2280 |
| 1.1503 | 9.0 | 7659 | 5.1285 | 0.2331 |
| 1.1255 | 10.0 | 8510 | 5.0999 | 0.2370 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1