cds_o_13
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7812
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 |
|---|---|---|---|
| 4.4948 | 1.0 | 496 | 3.2885 |
| 3.0395 | 2.0 | 992 | 2.9790 |
| 2.8091 | 3.0 | 1488 | 2.8684 |
| 2.6886 | 4.0 | 1984 | 2.8077 |
| 2.6051 | 5.0 | 2480 | 2.7698 |
| 2.5391 | 6.0 | 2976 | 2.7429 |
| 2.4829 | 7.0 | 3472 | 2.7245 |
| 2.4319 | 8.0 | 3968 | 2.7131 |
| 2.3847 | 9.0 | 4464 | 2.7099 |
| 2.3401 | 10.0 | 4960 | 2.7077 |
| 2.2975 | 11.0 | 5456 | 2.7102 |
| 2.2563 | 12.0 | 5952 | 2.7158 |
| 2.2172 | 13.0 | 6448 | 2.7242 |
| 2.18 | 14.0 | 6944 | 2.7340 |
| 2.1439 | 15.0 | 7440 | 2.7427 |
| 2.1121 | 16.0 | 7936 | 2.7532 |
| 2.0841 | 17.0 | 8432 | 2.7626 |
| 2.06 | 18.0 | 8928 | 2.7711 |
| 2.0396 | 19.0 | 9424 | 2.7776 |
| 2.0236 | 20.0 | 9920 | 2.7812 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0