---
library_name: transformers
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: datatrain-videomae-base-finetuned-lr3.1622776601683795e-05-poly1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# datatrain-videomae-base-finetuned-lr3.1622776601683795e-05-poly1

This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0510
- Accuracy: 0.6548

## 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: 3.1622776601683795e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- training_steps: 3096

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.46          | 0.5003 | 1549 | 1.6410          | 0.4834   |
| 1.488         | 1.4997 | 3096 | 1.3579          | 0.5760   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1
- Datasets 3.3.2
- Tokenizers 0.19.1