---
library_name: transformers
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
model-index:
- name: videomae-base-readminds-assignment
  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-readminds-assignment

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: 1.5827

## 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: 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: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5236        | 0.12  | 12   | 1.4575          |
| 1.1957        | 1.12  | 24   | 1.4403          |
| 0.7669        | 2.12  | 36   | 1.4573          |
| 0.4632        | 3.12  | 48   | 1.5034          |
| 0.299         | 4.12  | 60   | 1.5987          |
| 0.1672        | 5.12  | 72   | 1.5975          |
| 0.0682        | 6.12  | 84   | 1.5670          |
| 0.0324        | 7.12  | 96   | 1.5827          |
| 0.0155        | 8.04  | 100  | 1.5827          |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.0