---
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-V5-3g-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-V5-3g-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: 0.5090
- Accuracy: 0.8667

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.8752        | 0.02  | 261   | 2.0009          | 0.4667   |
| 0.5365        | 1.02  | 522   | 2.8415          | 0.4667   |
| 1.8181        | 2.02  | 783   | 2.1331          | 0.4667   |
| 0.6674        | 3.02  | 1044  | 2.5703          | 0.4667   |
| 1.7586        | 4.02  | 1305  | 1.1413          | 0.4667   |
| 1.0731        | 5.02  | 1566  | 1.8862          | 0.4667   |
| 1.3539        | 6.02  | 1827  | 1.8277          | 0.4667   |
| 0.8906        | 7.02  | 2088  | 1.7559          | 0.4667   |
| 1.5706        | 8.02  | 2349  | 2.0014          | 0.4667   |
| 0.3113        | 9.02  | 2610  | 1.3058          | 0.6667   |
| 1.6658        | 10.02 | 2871  | 1.5835          | 0.6444   |
| 1.3587        | 11.02 | 3132  | 0.8309          | 0.7556   |
| 0.31          | 12.02 | 3393  | 0.8154          | 0.7778   |
| 1.2834        | 13.02 | 3654  | 0.5090          | 0.8667   |
| 0.7111        | 14.02 | 3915  | 1.2500          | 0.6889   |
| 2.3551        | 15.02 | 4176  | 0.6881          | 0.8222   |
| 0.2734        | 16.02 | 4437  | 0.4506          | 0.8444   |
| 0.9675        | 17.02 | 4698  | 1.7515          | 0.6667   |
| 0.449         | 18.02 | 4959  | 0.7240          | 0.7778   |
| 0.5843        | 19.02 | 5220  | 0.9561          | 0.7778   |
| 1.0949        | 20.02 | 5481  | 1.2866          | 0.6889   |
| 1.2073        | 21.02 | 5742  | 1.0336          | 0.7556   |
| 1.3534        | 22.02 | 6003  | 1.8029          | 0.7111   |
| 0.0423        | 23.02 | 6264  | 1.4571          | 0.7111   |
| 1.0068        | 24.02 | 6525  | 1.7790          | 0.6444   |
| 1.5772        | 25.02 | 6786  | 1.7893          | 0.6667   |
| 0.8409        | 26.02 | 7047  | 1.6454          | 0.6667   |
| 0.6828        | 27.02 | 7308  | 1.8521          | 0.6889   |
| 0.5191        | 28.02 | 7569  | 1.2734          | 0.7556   |
| 0.4537        | 29.02 | 7830  | 1.8099          | 0.7111   |
| 0.003         | 30.02 | 8091  | 1.5860          | 0.7333   |
| 0.0004        | 31.02 | 8352  | 2.2568          | 0.6444   |
| 0.1452        | 32.02 | 8613  | 2.4112          | 0.6444   |
| 0.3815        | 33.02 | 8874  | 1.3679          | 0.7556   |
| 0.0013        | 34.02 | 9135  | 1.8306          | 0.7111   |
| 0.7655        | 35.02 | 9396  | 1.4608          | 0.7333   |
| 0.003         | 36.02 | 9657  | 2.2029          | 0.6667   |
| 0.0246        | 37.02 | 9918  | 2.7586          | 0.6222   |
| 0.0007        | 38.02 | 10179 | 2.6804          | 0.6444   |
| 0.5967        | 39.02 | 10440 | 2.5969          | 0.6444   |
| 0.0006        | 40.02 | 10701 | 2.6381          | 0.6444   |
| 0.0004        | 41.02 | 10962 | 2.9591          | 0.6222   |
| 0.0004        | 42.02 | 11223 | 2.1240          | 0.7111   |
| 1.109         | 43.02 | 11484 | 2.7634          | 0.6      |
| 1.074         | 44.02 | 11745 | 2.1595          | 0.7111   |
| 0.0016        | 45.02 | 12006 | 1.8538          | 0.7556   |
| 0.0002        | 46.02 | 12267 | 1.9419          | 0.7556   |
| 0.0005        | 47.02 | 12528 | 1.8378          | 0.7778   |
| 0.0001        | 48.02 | 12789 | 2.0625          | 0.7333   |
| 0.59          | 49.02 | 13050 | 2.0340          | 0.7333   |


### Framework versions

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