transformers safetensors videomae video-classification generated_from_trainer base_model:MCG-NJU/videomae-large license:cc-by-nc-4.0 endpoints_compatible region:us
---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-large
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
model-index:
- name: videomae-large-kissing_14-01-2024
  results: []
---

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# videomae-large-kissing_14-01-2024

This model is a fine-tuned version of [MCG-NJU/videomae-large](https://huggingface.co/MCG-NJU/videomae-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3655
- Accuracy: 0.9479
- Precision: 0.9547
- Recall: 0.9405

## 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-07
- 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: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 18165

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|
| 0.6377        | 0.07  | 1212  | 0.6211          | 0.6645   | 0.6755    | 0.6331 |
| 0.586         | 1.07  | 2424  | 0.4979          | 0.7835   | 0.8057    | 0.7471 |
| 0.3675        | 2.07  | 3636  | 0.3910          | 0.8983   | 0.9335    | 0.8579 |
| 0.8145        | 3.07  | 4848  | 0.3776          | 0.9207   | 0.9426    | 0.8959 |
| 0.6408        | 4.07  | 6060  | 0.3674          | 0.9322   | 0.9470    | 0.9157 |
| 0.01          | 5.07  | 7272  | 0.3630          | 0.9298   | 0.9422    | 0.9157 |
| 0.0274        | 6.07  | 8484  | 0.3808          | 0.9289   | 0.9233    | 0.9355 |
| 0.0002        | 7.07  | 9696  | 0.3566          | 0.9397   | 0.9508    | 0.9273 |
| 0.0058        | 8.07  | 10908 | 0.3609          | 0.9446   | 0.9622    | 0.9256 |
| 0.1551        | 9.07  | 12120 | 0.3757          | 0.9413   | 0.9465    | 0.9355 |
| 0.1784        | 10.07 | 13332 | 0.3410          | 0.9496   | 0.9579    | 0.9405 |
| 0.0011        | 11.07 | 14544 | 0.3707          | 0.9455   | 0.9455    | 0.9455 |
| 0.0001        | 12.07 | 15756 | 0.3719          | 0.9479   | 0.9547    | 0.9405 |
| 0.0307        | 13.07 | 16968 | 0.3657          | 0.9463   | 0.9530    | 0.9388 |
| 0.0002        | 14.07 | 18165 | 0.3655          | 0.9479   | 0.9547    | 0.9405 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
