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# videomae-base-finetuned-slrbd001

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: 1.6389
- Accuracy: 0.25

## 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: 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: 60

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.05  | 3    | 1.4887          | 0.25     |
| No log        | 1.05  | 6    | 1.3967          | 0.0      |
| No log        | 2.05  | 9    | 1.3822          | 0.375    |
| 1.4098        | 3.05  | 12   | 1.3607          | 0.375    |
| 1.4098        | 4.05  | 15   | 1.2716          | 0.5      |
| 1.4098        | 5.05  | 18   | 1.2074          | 0.5      |
| 1.2325        | 6.05  | 21   | 1.3363          | 0.25     |
| 1.2325        | 7.05  | 24   | 1.3342          | 0.25     |
| 1.2325        | 8.05  | 27   | 1.1540          | 0.375    |
| 0.8868        | 9.05  | 30   | 1.0971          | 0.5      |
| 0.8868        | 10.05 | 33   | 1.1247          | 0.375    |
| 0.8868        | 11.05 | 36   | 1.2616          | 0.25     |
| 0.8868        | 12.05 | 39   | 0.9747          | 0.375    |
| 0.8266        | 13.05 | 42   | 0.8311          | 0.375    |
| 0.8266        | 14.05 | 45   | 0.9191          | 0.375    |
| 0.8266        | 15.05 | 48   | 1.1805          | 0.25     |
| 0.8023        | 16.05 | 51   | 1.3324          | 0.25     |
| 0.8023        | 17.05 | 54   | 1.5051          | 0.25     |
| 0.8023        | 18.05 | 57   | 1.6055          | 0.25     |
| 0.7772        | 19.05 | 60   | 1.6389          | 0.25     |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-slrbd001", "results": []}]}
transformers tensorboard safetensors videomae video-classification generated_from_trainer base_model:MCG-NJU/videomae-base license:cc-by-nc-4.0 endpoints_compatible region:us