---
library_name: transformers
license: apache-2.0
base_model: DotCheck/finetuned_model
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finetuned_video_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_video_model

This model is a fine-tuned version of [DotCheck/finetuned_model](https://huggingface.co/DotCheck/finetuned_model) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0674
- Accuracy: 0.9821

## 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: 512
- eval_batch_size: 512
- 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 14   | 0.1526          | 0.9615   |
| No log        | 2.0   | 28   | 0.1366          | 0.9615   |
| No log        | 3.0   | 42   | 0.1200          | 0.9654   |
| No log        | 4.0   | 56   | 0.1034          | 0.9679   |
| No log        | 5.0   | 70   | 0.0903          | 0.9692   |
| No log        | 6.0   | 84   | 0.0833          | 0.9692   |
| No log        | 7.0   | 98   | 0.0764          | 0.9782   |
| No log        | 8.0   | 112  | 0.0745          | 0.9782   |
| No log        | 9.0   | 126  | 0.0705          | 0.9808   |
| No log        | 10.0  | 140  | 0.0706          | 0.9821   |
| No log        | 11.0  | 154  | 0.0678          | 0.9821   |
| No log        | 12.0  | 168  | 0.0678          | 0.9821   |
| No log        | 13.0  | 182  | 0.0669          | 0.9833   |
| No log        | 14.0  | 196  | 0.0677          | 0.9821   |
| No log        | 15.0  | 210  | 0.0674          | 0.9821   |


### Framework versions

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