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# videomae-base-finetuned-subset-check10

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: 0.7364
- Accuracy: 0.7130

## 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: 1e-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
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1110

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6285        | 0.05  | 56   | 1.6004          | 0.3687   |
| 1.6056        | 1.05  | 112  | 1.5826          | 0.1982   |
| 1.5254        | 2.05  | 168  | 1.5979          | 0.1475   |
| 1.4239        | 3.05  | 224  | 1.2076          | 0.6359   |
| 1.1884        | 4.05  | 280  | 1.1866          | 0.5576   |
| 1.2336        | 5.05  | 336  | 1.0281          | 0.6406   |
| 1.0726        | 6.05  | 392  | 0.9173          | 0.6636   |
| 1.0966        | 7.05  | 448  | 1.0597          | 0.5991   |
| 0.956         | 8.05  | 504  | 0.9278          | 0.6682   |
| 1.0813        | 9.05  | 560  | 1.0025          | 0.5714   |
| 0.8996        | 10.05 | 616  | 0.7882          | 0.7051   |
| 0.947         | 11.05 | 672  | 0.8638          | 0.7189   |
| 0.9386        | 12.05 | 728  | 0.8192          | 0.7005   |
| 0.8754        | 13.05 | 784  | 0.7741          | 0.6959   |
| 0.8028        | 14.05 | 840  | 0.7482          | 0.7097   |
| 0.7038        | 15.05 | 896  | 0.7464          | 0.7327   |
| 0.6302        | 16.05 | 952  | 0.7733          | 0.7005   |
| 0.8387        | 17.05 | 1008 | 0.7224          | 0.7235   |
| 0.5853        | 18.05 | 1064 | 0.7359          | 0.7143   |
| 0.7482        | 19.04 | 1110 | 0.7370          | 0.7189   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.1
- Datasets 2.16.1
- 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-subset-check10", "results": []}]}
transformers safetensors videomae video-classification generated_from_trainer base_model:MCG-NJU/videomae-base license:cc-by-nc-4.0 endpoints_compatible region:us