metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: cds_np_30
results: []
cds_np_30
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1222
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: 0.0001
- train_batch_size: 256
- eval_batch_size: 256
- seed: 30
- optimizer: Use adamw_torch_fused 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: 500
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.8295 | 1.0 | 495 | 3.7844 |
| 3.5371 | 2.0 | 990 | 3.4360 |
| 3.2797 | 3.0 | 1485 | 3.2933 |
| 3.1349 | 4.0 | 1980 | 3.2079 |
| 3.0332 | 5.0 | 2475 | 3.1528 |
| 2.9527 | 6.0 | 2970 | 3.1139 |
| 2.8841 | 7.0 | 3465 | 3.0916 |
| 2.824 | 8.0 | 3960 | 3.0747 |
| 2.7682 | 9.0 | 4455 | 3.0630 |
| 2.7163 | 10.0 | 4950 | 3.0596 |
| 2.6677 | 11.0 | 5445 | 3.0574 |
| 2.6216 | 12.0 | 5940 | 3.0626 |
| 2.576 | 13.0 | 6435 | 3.0706 |
| 2.5352 | 14.0 | 6930 | 3.0741 |
| 2.4975 | 15.0 | 7425 | 3.0858 |
| 2.4642 | 16.0 | 7920 | 3.0938 |
| 2.435 | 17.0 | 8415 | 3.1037 |
| 2.4088 | 18.0 | 8910 | 3.1112 |
| 2.3869 | 19.0 | 9405 | 3.1176 |
| 2.3697 | 20.0 | 9900 | 3.1222 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0