metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: AR_30000_41
results: []
AR_30000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.3123
- Accuracy: 0.2327
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 | 819 | 6.5872 | 0.1554 |
| 1.6291 | 2.0 | 1638 | 6.2052 | 0.1681 |
| 1.4373 | 3.0 | 2457 | 5.9073 | 0.1865 |
| 1.345 | 4.0 | 3276 | 5.7420 | 0.1972 |
| 1.2836 | 5.0 | 4095 | 5.6173 | 0.2064 |
| 1.2836 | 6.0 | 4914 | 5.5368 | 0.2126 |
| 1.2394 | 7.0 | 5733 | 5.4493 | 0.2210 |
| 1.2036 | 8.0 | 6552 | 5.3765 | 0.2268 |
| 1.1725 | 9.0 | 7371 | 5.3341 | 0.2298 |
| 1.1493 | 10.0 | 8190 | 5.3123 | 0.2327 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1