---
library_name: transformers
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-large-finetuned-kinetics
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: CTMAE2_CS_V7_2
  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. -->

# CTMAE2_CS_V7_2

This model is a fine-tuned version of [MCG-NJU/videomae-large-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-large-finetuned-kinetics) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7423
- Accuracy: 0.7778

## 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: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 12950

### Training results

| Training Loss | Epoch   | Step  | Validation Loss | Accuracy |
|:-------------:|:-------:|:-----:|:---------------:|:--------:|
| 0.5325        | 0.0201  | 260   | 0.8741          | 0.4667   |
| 0.5015        | 1.0201  | 520   | 0.9818          | 0.4444   |
| 0.5515        | 2.0201  | 780   | 0.7134          | 0.5111   |
| 0.3752        | 3.0201  | 1040  | 0.7412          | 0.6222   |
| 0.3128        | 4.0201  | 1300  | 0.8534          | 0.6      |
| 0.7261        | 5.0201  | 1560  | 0.7002          | 0.7111   |
| 0.4644        | 6.0201  | 1820  | 0.6550          | 0.7111   |
| 0.7702        | 7.0201  | 2080  | 0.6853          | 0.7333   |
| 0.4589        | 8.0201  | 2340  | 0.7447          | 0.7556   |
| 0.5026        | 9.0201  | 2600  | 0.7423          | 0.7778   |
| 0.5612        | 10.0201 | 2860  | 0.8798          | 0.6889   |
| 0.536         | 11.0201 | 3120  | 1.5358          | 0.4889   |
| 0.6695        | 12.0201 | 3380  | 1.3352          | 0.6667   |
| 0.2699        | 13.0201 | 3640  | 1.1053          | 0.7333   |
| 0.5277        | 14.0201 | 3900  | 0.9908          | 0.7111   |
| 0.7975        | 15.0201 | 4160  | 1.0846          | 0.6667   |
| 0.5766        | 16.0201 | 4420  | 0.9612          | 0.7333   |
| 0.3323        | 17.0201 | 4680  | 1.1611          | 0.6889   |
| 0.7162        | 18.0201 | 4940  | 1.3055          | 0.7111   |
| 0.1248        | 19.0201 | 5200  | 1.5837          | 0.6667   |
| 0.1746        | 20.0201 | 5460  | 1.2694          | 0.7333   |
| 0.1973        | 21.0201 | 5720  | 1.1572          | 0.7778   |
| 0.7038        | 22.0201 | 5980  | 1.4035          | 0.7111   |
| 0.3939        | 23.0201 | 6240  | 1.6775          | 0.6667   |
| 0.4129        | 24.0201 | 6500  | 1.6039          | 0.6889   |
| 0.2852        | 25.0201 | 6760  | 1.6769          | 0.7111   |
| 0.3278        | 26.0201 | 7020  | 1.9129          | 0.6889   |
| 0.7677        | 27.0201 | 7280  | 1.8397          | 0.6667   |
| 0.0122        | 28.0201 | 7540  | 2.0296          | 0.6889   |
| 0.3014        | 29.0201 | 7800  | 2.4234          | 0.6      |
| 0.3567        | 30.0201 | 8060  | 1.7570          | 0.7111   |
| 0.0334        | 31.0201 | 8320  | 2.0343          | 0.7111   |
| 0.0043        | 32.0201 | 8580  | 1.8095          | 0.7333   |
| 0.0119        | 33.0201 | 8840  | 1.6490          | 0.7556   |
| 0.7503        | 34.0201 | 9100  | 1.9144          | 0.6889   |
| 0.2105        | 35.0201 | 9360  | 1.8403          | 0.7333   |
| 0.003         | 36.0201 | 9620  | 1.8770          | 0.7333   |
| 0.1781        | 37.0201 | 9880  | 1.8631          | 0.7333   |
| 0.4092        | 38.0201 | 10140 | 1.9994          | 0.7111   |
| 0.232         | 39.0201 | 10400 | 1.9919          | 0.6889   |
| 0.2703        | 40.0201 | 10660 | 2.1008          | 0.7111   |
| 0.5169        | 41.0201 | 10920 | 2.2019          | 0.6889   |
| 0.8418        | 42.0201 | 11180 | 2.2000          | 0.6889   |
| 0.0007        | 43.0201 | 11440 | 2.0411          | 0.7111   |
| 0.0001        | 44.0201 | 11700 | 2.1081          | 0.6889   |
| 0.0004        | 45.0201 | 11960 | 2.1821          | 0.6889   |
| 0.0013        | 46.0201 | 12220 | 2.1313          | 0.7111   |
| 0.0003        | 47.0201 | 12480 | 2.2113          | 0.7111   |
| 0.83          | 48.0201 | 12740 | 2.2048          | 0.6889   |
| 0.0001        | 49.0162 | 12950 | 2.1997          | 0.6889   |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.0.1+cu117
- Datasets 3.0.1
- Tokenizers 0.20.0