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# videomae-base-finetuned-soccer-action-recognitionx4

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: 0.1327
- Accuracy: 0.9648

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1125

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.02  | 28   | 1.3255          | 0.3782   |
| No log        | 1.02  | 56   | 0.9903          | 0.5751   |
| 1.1078        | 2.02  | 84   | 0.4648          | 0.8238   |
| 1.1078        | 3.03  | 113  | 0.4075          | 0.8342   |
| 1.1078        | 4.02  | 141  | 0.2301          | 0.9275   |
| 0.2591        | 5.02  | 169  | 0.4090          | 0.8549   |
| 0.2591        | 6.02  | 197  | 0.1527          | 0.9482   |
| 0.2591        | 7.03  | 226  | 0.1413          | 0.9585   |
| 0.111         | 8.02  | 254  | 0.1386          | 0.9637   |
| 0.111         | 9.02  | 282  | 0.1674          | 0.9430   |
| 0.111         | 10.02 | 310  | 0.1010          | 0.9741   |
| 0.0509        | 11.03 | 339  | 0.1586          | 0.9637   |
| 0.0509        | 12.02 | 367  | 0.2696          | 0.8860   |
| 0.0509        | 13.02 | 395  | 0.3005          | 0.9171   |
| 0.023         | 14.02 | 423  | 0.1001          | 0.9741   |
| 0.023         | 15.03 | 452  | 0.1961          | 0.9482   |
| 0.0354        | 16.02 | 480  | 0.2596          | 0.9223   |
| 0.0354        | 17.02 | 508  | 0.1006          | 0.9689   |
| 0.0354        | 18.02 | 536  | 0.0947          | 0.9793   |
| 0.0141        | 19.03 | 565  | 0.0831          | 0.9793   |
| 0.0141        | 20.02 | 593  | 0.0685          | 0.9793   |
| 0.0141        | 21.02 | 621  | 0.0978          | 0.9689   |
| 0.0168        | 22.02 | 649  | 0.0812          | 0.9793   |
| 0.0168        | 23.03 | 678  | 0.0782          | 0.9793   |
| 0.0168        | 24.02 | 706  | 0.2624          | 0.9275   |
| 0.0029        | 25.02 | 734  | 0.1806          | 0.9534   |
| 0.0029        | 26.02 | 762  | 0.2123          | 0.9585   |
| 0.0029        | 27.03 | 791  | 0.2010          | 0.9482   |
| 0.0048        | 28.02 | 819  | 0.1259          | 0.9689   |
| 0.0048        | 29.02 | 847  | 0.2145          | 0.9430   |
| 0.0048        | 30.02 | 875  | 0.2901          | 0.9223   |
| 0.0042        | 31.03 | 904  | 0.0911          | 0.9793   |
| 0.0042        | 32.02 | 932  | 0.0892          | 0.9741   |
| 0.0024        | 33.02 | 960  | 0.0911          | 0.9845   |
| 0.0024        | 34.02 | 988  | 0.0987          | 0.9741   |
| 0.0024        | 35.03 | 1017 | 0.1446          | 0.9482   |
| 0.0008        | 36.02 | 1045 | 0.1415          | 0.9482   |
| 0.0008        | 37.02 | 1073 | 0.1435          | 0.9482   |
| 0.0008        | 38.02 | 1101 | 0.1438          | 0.9482   |
| 0.0008        | 39.02 | 1125 | 0.1371          | 0.9534   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- 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-soccer-action-recognitionx4", "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