---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-ucf101-subset
  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. -->

# videomae-base-finetuned-ucf101-subset

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: 1.1287
- Accuracy: 0.8333

## 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: 1
- eval_batch_size: 1
- 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: 15200

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.3638        | 0.02  | 304   | 0.9850          | 0.6118   |
| 0.9176        | 1.02  | 608   | 1.6993          | 0.3882   |
| 0.5243        | 2.02  | 912   | 1.1637          | 0.8026   |
| 0.0005        | 3.02  | 1216  | 0.8620          | 0.8092   |
| 0.5382        | 4.02  | 1520  | 0.9102          | 0.8092   |
| 0.0009        | 5.02  | 1824  | 1.2623          | 0.8355   |
| 0.0007        | 6.02  | 2128  | 1.4007          | 0.7829   |
| 0.254         | 7.02  | 2432  | 3.3258          | 0.4803   |
| 0.0005        | 8.02  | 2736  | 1.0090          | 0.8684   |
| 0.0003        | 9.02  | 3040  | 1.6322          | 0.7632   |
| 0.0015        | 10.02 | 3344  | 3.1927          | 0.5395   |
| 0.0006        | 11.02 | 3648  | 2.3243          | 0.7237   |
| 0.0004        | 12.02 | 3952  | 1.4877          | 0.7961   |
| 0.0007        | 13.02 | 4256  | 1.4014          | 0.8224   |
| 0.0001        | 14.02 | 4560  | 0.9946          | 0.8487   |
| 0.6249        | 15.02 | 4864  | 1.2847          | 0.7961   |
| 3.8326        | 16.02 | 5168  | 1.7870          | 0.7171   |
| 0.0646        | 17.02 | 5472  | 2.3504          | 0.6579   |
| 0.0003        | 18.02 | 5776  | 0.9367          | 0.8618   |
| 0.0004        | 19.02 | 6080  | 2.5710          | 0.6316   |
| 0.5626        | 20.02 | 6384  | 2.6711          | 0.6842   |
| 0.9002        | 21.02 | 6688  | 2.1456          | 0.7566   |
| 0.0002        | 22.02 | 6992  | 2.3488          | 0.7237   |
| 0.6977        | 23.02 | 7296  | 1.5013          | 0.8092   |
| 0.0001        | 24.02 | 7600  | 1.9442          | 0.7763   |
| 0.0003        | 25.02 | 7904  | 1.8732          | 0.8026   |
| 0.0001        | 26.02 | 8208  | 2.0295          | 0.7829   |
| 0.0001        | 27.02 | 8512  | 1.7623          | 0.8092   |
| 0.0001        | 28.02 | 8816  | 1.8035          | 0.8026   |
| 0.0           | 29.02 | 9120  | 1.7754          | 0.8092   |
| 0.0001        | 30.02 | 9424  | 1.7622          | 0.7961   |
| 0.0001        | 31.02 | 9728  | 1.7557          | 0.7895   |
| 0.0002        | 32.02 | 10032 | 1.5907          | 0.8224   |
| 0.0001        | 33.02 | 10336 | 1.6859          | 0.8158   |
| 0.0           | 34.02 | 10640 | 1.8641          | 0.7961   |
| 0.0           | 35.02 | 10944 | 1.7088          | 0.8224   |
| 0.0           | 36.02 | 11248 | 1.6140          | 0.8421   |
| 0.0           | 37.02 | 11552 | 1.6678          | 0.8355   |
| 0.0           | 38.02 | 11856 | 1.6991          | 0.8355   |
| 0.0           | 39.02 | 12160 | 1.7723          | 0.8224   |
| 0.0           | 40.02 | 12464 | 1.7865          | 0.8224   |
| 0.6067        | 41.02 | 12768 | 2.6848          | 0.7368   |
| 0.0001        | 42.02 | 13072 | 1.6834          | 0.8289   |
| 0.0           | 43.02 | 13376 | 1.7188          | 0.8289   |
| 0.9374        | 44.02 | 13680 | 1.5728          | 0.8421   |
| 0.0           | 45.02 | 13984 | 2.0988          | 0.7895   |
| 0.0           | 46.02 | 14288 | 2.0841          | 0.7829   |
| 0.0           | 47.02 | 14592 | 2.2198          | 0.7632   |
| 0.0           | 48.02 | 14896 | 2.2020          | 0.7632   |
| 0.0           | 49.02 | 15200 | 2.0693          | 0.7763   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2