metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: AR_50000_41
results: []
AR_50000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.5747
- Accuracy: 0.2285
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 | 786 | 6.7948 | 0.1587 |
| 1.6643 | 2.0 | 1572 | 6.4297 | 0.1732 |
| 1.466 | 3.0 | 2358 | 6.1299 | 0.1882 |
| 1.3707 | 4.0 | 3144 | 5.9718 | 0.1985 |
| 1.3707 | 5.0 | 3930 | 5.8569 | 0.2068 |
| 1.308 | 6.0 | 4716 | 5.7617 | 0.2124 |
| 1.2627 | 7.0 | 5502 | 5.6931 | 0.2184 |
| 1.2279 | 8.0 | 6288 | 5.6359 | 0.2233 |
| 1.1974 | 9.0 | 7074 | 5.5984 | 0.2265 |
| 1.1974 | 10.0 | 7860 | 5.5747 | 0.2285 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1