metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: AR_200_41
results: []
AR_200_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5234
- Accuracy: 0.5250
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 |
|---|---|---|---|---|
| 0.5298 | 1.0 | 2845 | 1.9969 | 0.3939 |
| 0.4512 | 2.0 | 5690 | 1.8217 | 0.4384 |
| 0.4173 | 3.0 | 8535 | 1.7295 | 0.4640 |
| 0.3977 | 4.0 | 11380 | 1.6786 | 0.4796 |
| 0.3841 | 5.0 | 14225 | 1.6362 | 0.4906 |
| 0.3747 | 6.0 | 17070 | 1.6065 | 0.4991 |
| 0.3677 | 7.0 | 19915 | 1.5772 | 0.5071 |
| 0.3586 | 8.0 | 22760 | 1.5534 | 0.5143 |
| 0.3504 | 9.0 | 25605 | 1.5324 | 0.5215 |
| 0.3437 | 10.0 | 28450 | 1.5234 | 0.5250 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1