cds_o_51
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7836
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 |
|---|---|---|---|
| 4.4895 | 1.0 | 496 | 3.2871 |
| 3.0404 | 2.0 | 992 | 2.9813 |
| 2.812 | 3.0 | 1488 | 2.8688 |
| 2.6919 | 4.0 | 1984 | 2.8078 |
| 2.6081 | 5.0 | 2480 | 2.7706 |
| 2.5419 | 6.0 | 2976 | 2.7438 |
| 2.485 | 7.0 | 3472 | 2.7265 |
| 2.4341 | 8.0 | 3968 | 2.7137 |
| 2.3864 | 9.0 | 4464 | 2.7111 |
| 2.3415 | 10.0 | 4960 | 2.7089 |
| 2.2983 | 11.0 | 5456 | 2.7111 |
| 2.257 | 12.0 | 5952 | 2.7166 |
| 2.2176 | 13.0 | 6448 | 2.7254 |
| 2.1798 | 14.0 | 6944 | 2.7353 |
| 2.1436 | 15.0 | 7440 | 2.7440 |
| 2.1115 | 16.0 | 7936 | 2.7541 |
| 2.0833 | 17.0 | 8432 | 2.7650 |
| 2.0588 | 18.0 | 8928 | 2.7714 |
| 2.0385 | 19.0 | 9424 | 2.7802 |
| 2.0226 | 20.0 | 9920 | 2.7836 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0