---
license: cc-by-nc-4.0
base_model: shossain11/videomae-base-finetuned-inhard-finetuned-inhard2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-inhard-finetuned-inhard2-finetuned-inhard3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# videomae-base-finetuned-inhard-finetuned-inhard2-finetuned-inhard3

This model is a fine-tuned version of [shossain11/videomae-base-finetuned-inhard-finetuned-inhard2](https://huggingface.co/shossain11/videomae-base-finetuned-inhard-finetuned-inhard2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1820
- Accuracy: 0.6987

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 9580

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3379        | 0.2   | 1916 | 1.3811          | 0.6337   |
| 0.8188        | 1.2   | 3832 | 1.8435          | 0.5272   |
| 0.5813        | 2.2   | 5748 | 1.1628          | 0.7203   |
| 0.5712        | 3.2   | 7664 | 1.1364          | 0.6970   |
| 0.723         | 4.2   | 9580 | 1.0294          | 0.7303   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0