cds_o_67
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7815
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: 67
- 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 |
|---|---|---|---|
| 4.4851 | 1.0 | 496 | 3.2833 |
| 3.0363 | 2.0 | 992 | 2.9779 |
| 2.809 | 3.0 | 1488 | 2.8694 |
| 2.6893 | 4.0 | 1984 | 2.8082 |
| 2.6063 | 5.0 | 2480 | 2.7678 |
| 2.5402 | 6.0 | 2976 | 2.7430 |
| 2.484 | 7.0 | 3472 | 2.7245 |
| 2.4329 | 8.0 | 3968 | 2.7160 |
| 2.3857 | 9.0 | 4464 | 2.7072 |
| 2.3406 | 10.0 | 4960 | 2.7081 |
| 2.2977 | 11.0 | 5456 | 2.7070 |
| 2.2563 | 12.0 | 5952 | 2.7153 |
| 2.2169 | 13.0 | 6448 | 2.7217 |
| 2.1792 | 14.0 | 6944 | 2.7344 |
| 2.143 | 15.0 | 7440 | 2.7430 |
| 2.1109 | 16.0 | 7936 | 2.7539 |
| 2.083 | 17.0 | 8432 | 2.7625 |
| 2.0587 | 18.0 | 8928 | 2.7717 |
| 2.0382 | 19.0 | 9424 | 2.7782 |
| 2.0224 | 20.0 | 9920 | 2.7815 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0