---
library_name: transformers
license: cc-by-nc-4.0
base_model: DaliaSherman/videomae-base-finetuned-beilinson
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-beilinson-6epochs
  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. -->

# videomae-base-finetuned-beilinson-6epochs

This model is a fine-tuned version of [DaliaSherman/videomae-base-finetuned-beilinson](https://huggingface.co/DaliaSherman/videomae-base-finetuned-beilinson) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1208
- Accuracy: 0.3948

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 156

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.7753        | 0.3333 | 52   | 2.5961          | 0.1974   |
| 1.7673        | 1.3333 | 104  | 2.3099          | 0.3090   |
| 1.4461        | 2.3333 | 156  | 2.1208          | 0.3948   |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3