---
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: CTMAE-P2-V2-S5
  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. -->

# CTMAE-P2-V2-S5

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: 1.2006
- Accuracy: 0.75

## 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: 1
- eval_batch_size: 1
- 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: 13050

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.5874        | 0.02  | 261   | 2.2577          | 0.5682   |
| 0.581         | 1.02  | 522   | 2.4954          | 0.5682   |
| 1.5552        | 2.02  | 783   | 2.2144          | 0.5682   |
| 0.7597        | 3.02  | 1044  | 2.1388          | 0.5682   |
| 1.8176        | 4.02  | 1305  | 1.5857          | 0.5682   |
| 0.9596        | 5.02  | 1566  | 1.9454          | 0.5682   |
| 0.8402        | 6.02  | 1827  | 2.0550          | 0.5682   |
| 1.0823        | 7.02  | 2088  | 1.7864          | 0.5682   |
| 1.0229        | 8.02  | 2349  | 1.8592          | 0.5682   |
| 0.7113        | 9.02  | 2610  | 1.4045          | 0.5682   |
| 1.3068        | 10.02 | 2871  | 1.4536          | 0.5682   |
| 1.7964        | 11.02 | 3132  | 1.8695          | 0.5682   |
| 1.6925        | 12.02 | 3393  | 0.7860          | 0.5682   |
| 0.3966        | 13.02 | 3654  | 2.1610          | 0.5682   |
| 0.0112        | 14.02 | 3915  | 2.7138          | 0.5682   |
| 0.5847        | 15.02 | 4176  | 0.8433          | 0.7045   |
| 0.6547        | 16.02 | 4437  | 1.7384          | 0.6136   |
| 0.7854        | 17.02 | 4698  | 1.3477          | 0.6818   |
| 1.0052        | 18.02 | 4959  | 1.4197          | 0.7045   |
| 1.4927        | 19.02 | 5220  | 2.2046          | 0.6136   |
| 0.5386        | 20.02 | 5481  | 1.2006          | 0.75     |
| 0.7256        | 21.02 | 5742  | 1.5015          | 0.7273   |
| 0.8462        | 22.02 | 6003  | 1.6405          | 0.6591   |
| 0.64          | 23.02 | 6264  | 2.2160          | 0.5682   |
| 1.0358        | 24.02 | 6525  | 2.6674          | 0.5682   |
| 0.0003        | 25.02 | 6786  | 3.2237          | 0.5682   |
| 1.449         | 26.02 | 7047  | 2.9910          | 0.5455   |
| 0.6425        | 27.02 | 7308  | 2.9668          | 0.5682   |
| 0.0038        | 28.02 | 7569  | 3.2074          | 0.5455   |
| 0.4198        | 29.02 | 7830  | 3.4554          | 0.5455   |
| 0.0002        | 30.02 | 8091  | 2.2222          | 0.6591   |
| 0.0087        | 31.02 | 8352  | 2.7093          | 0.5455   |
| 0.2823        | 32.02 | 8613  | 2.8994          | 0.5909   |
| 0.0009        | 33.02 | 8874  | 2.9261          | 0.5909   |
| 0.0064        | 34.02 | 9135  | 2.4037          | 0.6818   |
| 0.7506        | 35.02 | 9396  | 2.8436          | 0.6364   |
| 0.6686        | 36.02 | 9657  | 3.1198          | 0.5682   |
| 0.0089        | 37.02 | 9918  | 2.2353          | 0.6591   |
| 0.6753        | 38.02 | 10179 | 3.0288          | 0.6364   |
| 0.0003        | 39.02 | 10440 | 2.4052          | 0.6591   |
| 0.295         | 40.02 | 10701 | 3.7579          | 0.5682   |
| 0.0002        | 41.02 | 10962 | 3.3831          | 0.5909   |
| 0.5379        | 42.02 | 11223 | 3.5119          | 0.5455   |
| 0.0001        | 43.02 | 11484 | 3.3207          | 0.5909   |
| 0.0001        | 44.02 | 11745 | 3.1331          | 0.6136   |
| 0.0002        | 45.02 | 12006 | 3.1938          | 0.5909   |
| 0.0001        | 46.02 | 12267 | 3.2387          | 0.5909   |
| 0.6632        | 47.02 | 12528 | 3.3889          | 0.5909   |
| 0.2849        | 48.02 | 12789 | 3.3584          | 0.6364   |
| 0.0001        | 49.02 | 13050 | 3.2970          | 0.6136   |


### Framework versions

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