transformers safetensors videomae video-classification generated_from_trainer base_model:shossain11/videomae-base-finetuned-inhard-finetuned-inhard2-finetuned-inhard3 license:cc-by-nc-4.0 endpoints_compatible region:us
---
license: cc-by-nc-4.0
base_model: shossain11/videomae-base-finetuned-inhard-finetuned-inhard2-finetuned-inhard3
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-inhard4
  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-inhard4

This model is a fine-tuned version of [shossain11/videomae-base-finetuned-inhard-finetuned-inhard2-finetuned-inhard3](https://huggingface.co/shossain11/videomae-base-finetuned-inhard-finetuned-inhard2-finetuned-inhard3) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5601
- Accuracy: 0.6694

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6133        | 0.2   | 1916 | 1.7373          | 0.5683   |
| 1.2931        | 1.2   | 3832 | 2.1067          | 0.5450   |
| 0.7879        | 2.2   | 5748 | 1.7517          | 0.5993   |
| 0.6454        | 3.2   | 7664 | 1.6389          | 0.6238   |
| 0.9419        | 4.2   | 9580 | 1.4057          | 0.6837   |


### Framework versions

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