---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base-short-ssv2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-short-ssv2-finetuned-ct_cpc
  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. -->

# videomae-base-short-ssv2-finetuned-ct_cpc

This model is a fine-tuned version of [MCG-NJU/videomae-base-short-ssv2](https://huggingface.co/MCG-NJU/videomae-base-short-ssv2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1547
- Accuracy: 0.6508

## 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: 6
- eval_batch_size: 6
- 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: 2300

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4832        | 0.02  | 47   | 1.1203          | 0.6667   |
| 1.32          | 1.02  | 94   | 1.0505          | 0.6667   |
| 1.1539        | 2.02  | 141  | 1.0525          | 0.6667   |
| 1.2399        | 3.02  | 188  | 1.0354          | 0.6667   |
| 0.9928        | 4.02  | 235  | 1.0516          | 0.6667   |
| 1.0054        | 5.02  | 282  | 1.0297          | 0.6667   |
| 1.1166        | 6.02  | 329  | 1.0247          | 0.6667   |
| 1.2715        | 7.02  | 376  | 1.0098          | 0.6667   |
| 1.0317        | 8.02  | 423  | 1.0404          | 0.6667   |
| 1.1258        | 9.02  | 470  | 1.0054          | 0.6667   |
| 0.8991        | 10.02 | 517  | 1.0477          | 0.6667   |
| 0.8957        | 11.02 | 564  | 1.0608          | 0.6667   |
| 1.078         | 12.02 | 611  | 1.0166          | 0.6667   |
| 0.9067        | 13.02 | 658  | 1.2110          | 0.6667   |
| 1.0383        | 14.02 | 705  | 1.0380          | 0.6      |
| 1.2244        | 15.02 | 752  | 1.1041          | 0.6667   |
| 1.0364        | 16.02 | 799  | 1.0123          | 0.6      |
| 0.9662        | 17.02 | 846  | 1.1803          | 0.6333   |
| 0.9299        | 18.02 | 893  | 1.0910          | 0.6333   |
| 0.877         | 19.02 | 940  | 1.0183          | 0.65     |
| 0.8649        | 20.02 | 987  | 1.1415          | 0.6167   |
| 0.8841        | 21.02 | 1034 | 1.0975          | 0.6333   |
| 0.6276        | 22.02 | 1081 | 1.0728          | 0.6      |
| 0.7974        | 23.02 | 1128 | 1.1676          | 0.5833   |
| 0.7381        | 24.02 | 1175 | 1.1624          | 0.55     |
| 0.4807        | 25.02 | 1222 | 1.1930          | 0.55     |
| 0.6812        | 26.02 | 1269 | 1.1511          | 0.6      |
| 0.5802        | 27.02 | 1316 | 1.2315          | 0.6167   |
| 0.5943        | 28.02 | 1363 | 1.1641          | 0.5667   |
| 0.5416        | 29.02 | 1410 | 1.0963          | 0.6      |
| 0.6676        | 30.02 | 1457 | 1.1131          | 0.5667   |
| 0.4085        | 31.02 | 1504 | 1.2948          | 0.5833   |
| 0.4548        | 32.02 | 1551 | 1.2788          | 0.6333   |
| 0.4351        | 33.02 | 1598 | 1.1922          | 0.5667   |
| 0.5641        | 34.02 | 1645 | 1.2677          | 0.55     |
| 0.4471        | 35.02 | 1692 | 1.2766          | 0.6167   |
| 0.361         | 36.02 | 1739 | 1.2525          | 0.55     |
| 0.5668        | 37.02 | 1786 | 1.2928          | 0.55     |
| 0.5262        | 38.02 | 1833 | 1.2429          | 0.6333   |
| 0.4901        | 39.02 | 1880 | 1.1457          | 0.5667   |
| 0.481         | 40.02 | 1927 | 1.2137          | 0.5833   |
| 0.3566        | 41.02 | 1974 | 1.1830          | 0.6167   |
| 0.5147        | 42.02 | 2021 | 1.1629          | 0.6      |
| 0.4013        | 43.02 | 2068 | 1.2735          | 0.6      |
| 0.3895        | 44.02 | 2115 | 1.2758          | 0.6167   |
| 0.3727        | 45.02 | 2162 | 1.2519          | 0.5833   |
| 0.2379        | 46.02 | 2209 | 1.2318          | 0.5833   |
| 0.2985        | 47.02 | 2256 | 1.2594          | 0.5833   |
| 0.2991        | 48.02 | 2300 | 1.2510          | 0.5833   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.0.1+cu117
- Datasets 3.0.1
- Tokenizers 0.15.1