candor_w_51
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.9721
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: 51
- 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 |
|---|---|---|---|
| 5.3946 | 1.0 | 423 | 4.2840 |
| 4.0574 | 2.0 | 846 | 4.0660 |
| 3.9206 | 3.0 | 1269 | 3.9986 |
| 3.8508 | 4.0 | 1692 | 3.9572 |
| 3.7992 | 5.0 | 2115 | 3.9278 |
| 3.7552 | 6.0 | 2538 | 3.9106 |
| 3.7154 | 7.0 | 2961 | 3.8962 |
| 3.6773 | 8.0 | 3384 | 3.8913 |
| 3.6399 | 9.0 | 3807 | 3.8849 |
| 3.6029 | 10.0 | 4230 | 3.8858 |
| 3.5662 | 11.0 | 4653 | 3.8891 |
| 3.5291 | 12.0 | 5076 | 3.8957 |
| 3.4924 | 13.0 | 5499 | 3.9041 |
| 3.457 | 14.0 | 5922 | 3.9158 |
| 3.4223 | 15.0 | 6345 | 3.9263 |
| 3.3905 | 16.0 | 6768 | 3.9369 |
| 3.3599 | 17.0 | 7191 | 3.9489 |
| 3.3346 | 18.0 | 7614 | 3.9587 |
| 3.3133 | 19.0 | 8037 | 3.9669 |
| 3.2976 | 20.0 | 8460 | 3.9721 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
- Downloads last month
- 4