---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: candor_shuffle_1gr_67
  results: []
---

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# candor_shuffle_1gr_67

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: 4.4432

## 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.6977        | 1.0   | 427  | 4.7162          |
| 4.6432        | 2.0   | 854  | 4.5670          |
| 4.5439        | 3.0   | 1281 | 4.4985          |
| 4.4866        | 4.0   | 1708 | 4.4609          |
| 4.45          | 5.0   | 2135 | 4.4432          |


### Framework versions

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