---
license: cc-by-nc-4.0
base_model: facebook/timesformer-base-finetuned-k400
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: tsf-gs-rot-flip-wtoken-DRPT-r128-f198-4.4-h768-i3072-p32-b4-e60
  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. -->

# tsf-gs-rot-flip-wtoken-DRPT-r128-f198-4.4-h768-i3072-p32-b4-e60

This model is a fine-tuned version of [facebook/timesformer-base-finetuned-k400](https://huggingface.co/facebook/timesformer-base-finetuned-k400) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4736
- Accuracy: 0.7487

## 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: 13020
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step  | Validation Loss | Accuracy |
|:-------------:|:-------:|:-----:|:---------------:|:--------:|
| 1.0904        | 0.0167  | 217   | 1.1132          | 0.3262   |
| 1.1105        | 1.0167  | 434   | 1.1408          | 0.3262   |
| 1.2079        | 2.0167  | 651   | 1.1040          | 0.3422   |
| 1.1561        | 3.0167  | 868   | 1.1015          | 0.3316   |
| 1.1399        | 4.0167  | 1085  | 1.1023          | 0.3262   |
| 1.1942        | 5.0167  | 1302  | 1.1053          | 0.3743   |
| 1.09          | 6.0167  | 1519  | 1.0816          | 0.3690   |
| 1.1052        | 7.0167  | 1736  | 1.1205          | 0.3369   |
| 0.9883        | 8.0167  | 1953  | 1.1582          | 0.3904   |
| 1.0268        | 9.0167  | 2170  | 0.9488          | 0.5775   |
| 0.8247        | 10.0167 | 2387  | 0.9106          | 0.6417   |
| 0.841         | 11.0167 | 2604  | 0.8541          | 0.6471   |
| 0.8026        | 12.0167 | 2821  | 0.7250          | 0.6898   |
| 0.942         | 13.0167 | 3038  | 0.7447          | 0.6578   |
| 0.7162        | 14.0167 | 3255  | 0.8518          | 0.6043   |
| 1.0489        | 15.0167 | 3472  | 0.9505          | 0.6096   |
| 0.8231        | 16.0167 | 3689  | 1.0083          | 0.5882   |
| 0.8702        | 17.0167 | 3906  | 0.7928          | 0.6684   |
| 0.5014        | 18.0167 | 4123  | 0.7290          | 0.7433   |
| 0.5914        | 19.0167 | 4340  | 0.6092          | 0.7701   |
| 0.6259        | 20.0167 | 4557  | 1.0359          | 0.7487   |
| 0.7433        | 21.0167 | 4774  | 1.0086          | 0.7326   |
| 0.2929        | 22.0167 | 4991  | 1.7072          | 0.6364   |
| 0.3763        | 23.0167 | 5208  | 0.9161          | 0.7487   |
| 0.4253        | 24.0167 | 5425  | 1.1377          | 0.7219   |
| 0.7882        | 25.0167 | 5642  | 1.2351          | 0.7059   |
| 0.5644        | 26.0167 | 5859  | 1.5853          | 0.6150   |
| 0.6372        | 27.0167 | 6076  | 0.8027          | 0.7540   |
| 0.3907        | 28.0167 | 6293  | 1.6891          | 0.6096   |
| 0.7374        | 29.0167 | 6510  | 1.2730          | 0.6791   |
| 0.6292        | 30.0167 | 6727  | 1.1093          | 0.7326   |
| 0.2892        | 31.0167 | 6944  | 1.2396          | 0.7219   |
| 0.6779        | 32.0167 | 7161  | 1.6986          | 0.6524   |
| 0.2337        | 33.0167 | 7378  | 1.7567          | 0.6898   |
| 0.3919        | 34.0167 | 7595  | 1.1040          | 0.7380   |
| 0.6117        | 35.0167 | 7812  | 1.0982          | 0.7701   |
| 0.5463        | 36.0167 | 8029  | 1.1052          | 0.7380   |
| 0.3559        | 37.0167 | 8246  | 1.6846          | 0.6578   |
| 0.3356        | 38.0167 | 8463  | 0.9712          | 0.7487   |
| 0.0266        | 39.0167 | 8680  | 1.7524          | 0.6684   |
| 0.3919        | 40.0167 | 8897  | 1.6011          | 0.7112   |
| 0.1367        | 41.0167 | 9114  | 1.1935          | 0.7433   |
| 0.1936        | 42.0167 | 9331  | 1.5143          | 0.7326   |
| 0.7236        | 43.0167 | 9548  | 1.1621          | 0.7861   |
| 0.5877        | 44.0167 | 9765  | 1.5272          | 0.7326   |
| 0.3265        | 45.0167 | 9982  | 1.2536          | 0.7754   |
| 0.4684        | 46.0167 | 10199 | 1.1489          | 0.7647   |
| 0.3436        | 47.0167 | 10416 | 1.3433          | 0.7701   |
| 0.0272        | 48.0167 | 10633 | 1.5171          | 0.7380   |
| 0.3487        | 49.0167 | 10850 | 1.1279          | 0.7647   |
| 0.024         | 50.0167 | 11067 | 1.6780          | 0.7273   |
| 0.4644        | 51.0167 | 11284 | 1.3860          | 0.7914   |
| 0.5177        | 52.0167 | 11501 | 1.7174          | 0.7219   |
| 0.263         | 53.0167 | 11718 | 1.4811          | 0.7326   |
| 0.3323        | 54.0167 | 11935 | 1.4279          | 0.7807   |
| 0.2919        | 55.0167 | 12152 | 1.4855          | 0.7166   |
| 0.1878        | 56.0167 | 12369 | 1.4966          | 0.7594   |
| 0.1307        | 57.0167 | 12586 | 1.3280          | 0.7594   |
| 0.4798        | 58.0167 | 12803 | 1.6149          | 0.7487   |
| 0.0599        | 59.0167 | 13020 | 1.3786          | 0.7540   |


### Framework versions

- Transformers 4.41.2
- Pytorch 1.13.0+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1