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library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: cds_w_13
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# cds_w_13
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1763
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 4.5857 | 1.0 | 496 | 3.5241 |
| 3.3228 | 2.0 | 992 | 3.3001 |
| 3.1656 | 3.0 | 1488 | 3.2203 |
| 3.078 | 4.0 | 1984 | 3.1739 |
| 3.0125 | 5.0 | 2480 | 3.1434 |
| 2.9601 | 6.0 | 2976 | 3.1195 |
| 2.9126 | 7.0 | 3472 | 3.1073 |
| 2.868 | 8.0 | 3968 | 3.1036 |
| 2.8271 | 9.0 | 4464 | 3.0964 |
| 2.787 | 10.0 | 4960 | 3.0980 |
| 2.7475 | 11.0 | 5456 | 3.0985 |
| 2.71 | 12.0 | 5952 | 3.1066 |
| 2.6721 | 13.0 | 6448 | 3.1152 |
| 2.6369 | 14.0 | 6944 | 3.1243 |
| 2.6025 | 15.0 | 7440 | 3.1367 |
| 2.5712 | 16.0 | 7936 | 3.1456 |
| 2.5427 | 17.0 | 8432 | 3.1547 |
| 2.519 | 18.0 | 8928 | 3.1654 |
| 2.4987 | 19.0 | 9424 | 3.1713 |
| 2.4831 | 20.0 | 9920 | 3.1763 |
### Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
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