---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: fine_tuned_model
  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. -->

# fine_tuned_model

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1677
- Accuracy: 1.0
- F1: 1.0
- Pair Accuracy: 1.0

## 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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1  | Pair Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|:-------------:|
| No log        | 1.0   | 8    | 0.1677          | 1.0      | 1.0 | 1.0           |
| No log        | 2.0   | 16   | 0.2262          | 1.0      | 1.0 | 1.0           |
| No log        | 3.0   | 24   | 0.1528          | 1.0      | 1.0 | 1.0           |


### Framework versions

- Transformers 5.7.0
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1