---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: candor_np_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. -->

# candor_np_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: 4.4624

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.762         | 1.0   | 422  | 4.7811          |
| 4.6298        | 2.0   | 844  | 4.6029          |
| 4.5095        | 3.0   | 1266 | 4.5221          |
| 4.4388        | 4.0   | 1688 | 4.4752          |
| 4.3851        | 5.0   | 2110 | 4.4421          |
| 4.3391        | 6.0   | 2532 | 4.4180          |
| 4.2975        | 7.0   | 2954 | 4.4000          |
| 4.258         | 8.0   | 3376 | 4.3873          |
| 4.2193        | 9.0   | 3798 | 4.3806          |
| 4.1807        | 10.0  | 4220 | 4.3781          |
| 4.1418        | 11.0  | 4642 | 4.3790          |
| 4.1029        | 12.0  | 5064 | 4.3839          |
| 4.0643        | 13.0  | 5486 | 4.3914          |
| 4.0259        | 14.0  | 5908 | 4.4026          |
| 3.9896        | 15.0  | 6330 | 4.4131          |
| 3.9551        | 16.0  | 6752 | 4.4276          |
| 3.9231        | 17.0  | 7174 | 4.4376          |
| 3.8953        | 18.0  | 7596 | 4.4503          |
| 3.8731        | 19.0  | 8018 | 4.4567          |
| 3.8566        | 20.0  | 8440 | 4.4624          |


### Framework versions

- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
