candor_o_13
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4956
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: 13
- 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 |
|---|---|---|---|
| 5.2978 | 1.0 | 422 | 4.0581 |
| 3.7637 | 2.0 | 844 | 3.7319 |
| 3.5494 | 3.0 | 1266 | 3.6136 |
| 3.4387 | 4.0 | 1688 | 3.5481 |
| 3.3599 | 5.0 | 2110 | 3.5039 |
| 3.2964 | 6.0 | 2532 | 3.4744 |
| 3.2407 | 7.0 | 2954 | 3.4528 |
| 3.1902 | 8.0 | 3376 | 3.4394 |
| 3.143 | 9.0 | 3798 | 3.4321 |
| 3.0978 | 10.0 | 4220 | 3.4266 |
| 3.054 | 11.0 | 4642 | 3.4252 |
| 3.0117 | 12.0 | 5064 | 3.4315 |
| 2.9708 | 13.0 | 5486 | 3.4373 |
| 2.9316 | 14.0 | 5908 | 3.4445 |
| 2.8935 | 15.0 | 6330 | 3.4546 |
| 2.8589 | 16.0 | 6752 | 3.4669 |
| 2.8288 | 17.0 | 7174 | 3.4778 |
| 2.8031 | 18.0 | 7596 | 3.4841 |
| 2.7814 | 19.0 | 8018 | 3.4919 |
| 2.7646 | 20.0 | 8440 | 3.4956 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0