---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
model-index:
- name: mvit_v2_rwf-2000
  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. -->

# mvit_v2_rwf-2000

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3786
- Accuracy: 0.8875
- F1: 0.8873
- Precision: 0.8907

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1520

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|
| 0.4242        | 0.125 | 190  | 0.4227          | 0.8375   | 0.8366 | 0.8453    |
| 0.3906        | 1.125 | 380  | 0.2933          | 0.9      | 0.8999 | 0.9010    |
| 0.3199        | 2.125 | 570  | 0.3034          | 0.9313   | 0.9312 | 0.9313    |
| 0.2239        | 3.125 | 760  | 0.3611          | 0.9125   | 0.9124 | 0.9135    |
| 0.1747        | 4.125 | 950  | 0.3475          | 0.9313   | 0.9312 | 0.9313    |
| 0.1702        | 5.125 | 1140 | 0.3667          | 0.9313   | 0.9312 | 0.9313    |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.0.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1