---
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-V4-S1
  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-V4-S1

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: 0.4018
- Accuracy: 0.8696

## 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: 2
- eval_batch_size: 2
- 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: 6500

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 0.6432        | 0.0202  | 131  | 0.8218          | 0.5435   |
| 0.4243        | 1.0202  | 262  | 2.1313          | 0.5435   |
| 1.0867        | 2.0202  | 393  | 1.9686          | 0.5435   |
| 0.7155        | 3.0202  | 524  | 0.8454          | 0.5435   |
| 1.2743        | 4.0202  | 655  | 1.4546          | 0.5435   |
| 0.7952        | 5.0202  | 786  | 1.4258          | 0.5435   |
| 0.7364        | 6.0202  | 917  | 1.2201          | 0.5435   |
| 1.4976        | 7.0202  | 1048 | 0.9825          | 0.5435   |
| 0.7766        | 8.0202  | 1179 | 1.4507          | 0.5435   |
| 0.8254        | 9.0202  | 1310 | 1.0845          | 0.5435   |
| 0.7267        | 10.0202 | 1441 | 1.2709          | 0.5435   |
| 0.6193        | 11.0202 | 1572 | 1.2887          | 0.5435   |
| 0.637         | 12.0202 | 1703 | 0.6064          | 0.5870   |
| 0.7321        | 13.0202 | 1834 | 0.9141          | 0.5435   |
| 1.0134        | 14.0202 | 1965 | 1.6380          | 0.5435   |
| 0.2139        | 15.0202 | 2096 | 0.6076          | 0.6957   |
| 0.687         | 16.0202 | 2227 | 1.1890          | 0.5435   |
| 0.8722        | 17.0202 | 2358 | 0.5484          | 0.7826   |
| 1.176         | 18.0202 | 2489 | 0.4018          | 0.8696   |
| 0.8042        | 19.0202 | 2620 | 0.9282          | 0.7174   |
| 0.3013        | 20.0202 | 2751 | 0.5083          | 0.7609   |
| 0.646         | 21.0202 | 2882 | 0.5288          | 0.8261   |
| 1.3053        | 22.0202 | 3013 | 1.1224          | 0.6522   |
| 0.9903        | 23.0202 | 3144 | 0.4706          | 0.8043   |
| 0.7157        | 24.0202 | 3275 | 0.8163          | 0.7826   |
| 0.3073        | 25.0202 | 3406 | 1.1409          | 0.7609   |
| 0.5069        | 26.0202 | 3537 | 0.5148          | 0.8043   |
| 0.2683        | 27.0202 | 3668 | 1.2584          | 0.7609   |
| 0.4506        | 28.0202 | 3799 | 0.8241          | 0.7826   |
| 0.6501        | 29.0202 | 3930 | 0.9973          | 0.8261   |
| 0.6552        | 30.0202 | 4061 | 1.0375          | 0.7609   |
| 0.0676        | 31.0202 | 4192 | 0.9151          | 0.8043   |
| 0.0514        | 32.0202 | 4323 | 1.3664          | 0.7609   |
| 0.5447        | 33.0202 | 4454 | 1.4551          | 0.7391   |
| 0.3701        | 34.0202 | 4585 | 1.3388          | 0.7826   |
| 0.6869        | 35.0202 | 4716 | 1.3302          | 0.7826   |
| 0.1371        | 36.0202 | 4847 | 1.4859          | 0.7826   |
| 0.5565        | 37.0202 | 4978 | 1.4103          | 0.7609   |
| 0.0022        | 38.0202 | 5109 | 1.3428          | 0.7391   |
| 1.5897        | 39.0202 | 5240 | 1.4125          | 0.7391   |
| 0.1302        | 40.0202 | 5371 | 1.3893          | 0.7391   |
| 0.2463        | 41.0202 | 5502 | 1.5599          | 0.7609   |
| 0.0007        | 42.0202 | 5633 | 1.3542          | 0.7826   |
| 0.0004        | 43.0202 | 5764 | 1.8062          | 0.7391   |
| 0.0803        | 44.0202 | 5895 | 1.5014          | 0.7826   |
| 0.3332        | 45.0202 | 6026 | 1.5840          | 0.7391   |
| 0.0004        | 46.0202 | 6157 | 1.5471          | 0.7391   |
| 0.0004        | 47.0202 | 6288 | 1.3982          | 0.7826   |
| 0.0019        | 48.0202 | 6419 | 1.4889          | 0.7391   |
| 0.0006        | 49.0125 | 6500 | 1.4876          | 0.7609   |


### Framework versions

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