| --- |
| 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 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.54.1 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 4.0.0 |
| - Tokenizers 0.21.4 |
|
|
