---
library_name: transformers
license: apache-2.0
base_model: DotCheck/finetuned_model
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finetuned_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. -->

# finetuned_model

This model is a fine-tuned version of [DotCheck/finetuned_model](https://huggingface.co/DotCheck/finetuned_model) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0103
- Accuracy: 0.9969

## 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: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 282  | 0.0147          | 0.9946   |
| 0.0887        | 2.0   | 564  | 0.0100          | 0.9967   |
| 0.0887        | 3.0   | 846  | 0.0103          | 0.9969   |


### Framework versions

- Transformers 4.54.1
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4