metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: AR_8680_41
results: []
AR_8680_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.5867
- Accuracy: 0.2572
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 | 940 | 5.8610 | 0.1440 |
| 1.4989 | 2.0 | 1880 | 5.5649 | 0.1544 |
| 1.3199 | 3.0 | 2820 | 5.2958 | 0.1757 |
| 1.2518 | 4.0 | 3760 | 5.0584 | 0.1987 |
| 1.1835 | 5.0 | 4700 | 4.9272 | 0.2129 |
| 1.1333 | 6.0 | 5640 | 4.8093 | 0.2278 |
| 1.095 | 7.0 | 6580 | 4.7237 | 0.2380 |
| 1.0654 | 8.0 | 7520 | 4.6550 | 0.2473 |
| 1.0384 | 9.0 | 8460 | 4.6116 | 0.2542 |
| 1.0178 | 10.0 | 9400 | 4.5867 | 0.2572 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1