---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-large-finetuned-kinetics
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-large-finetuned-kinetics-finetuned-videomae-large-kitchen
  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-large-finetuned-kinetics-finetuned-videomae-large-kitchen

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: 0.6309
- Accuracy: 0.8900

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- 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: 11100

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 3.5158        | 0.02  | 222   | 3.6067          | 0.0588   |
| 2.8571        | 1.02  | 444   | 3.1445          | 0.3014   |
| 1.8854        | 2.02  | 666   | 2.3644          | 0.4607   |
| 1.5533        | 3.02  | 888   | 1.7967          | 0.5621   |
| 1.3935        | 4.02  | 1110  | 1.3755          | 0.6502   |
| 1.1722        | 5.02  | 1332  | 1.2232          | 0.7109   |
| 0.2896        | 6.02  | 1554  | 1.2859          | 0.6256   |
| 0.3166        | 7.02  | 1776  | 1.2910          | 0.6720   |
| 0.6902        | 8.02  | 1998  | 1.2702          | 0.6995   |
| 0.4193        | 9.02  | 2220  | 1.2087          | 0.7137   |
| 0.1889        | 10.02 | 2442  | 1.0500          | 0.7611   |
| 0.4502        | 11.02 | 2664  | 1.1647          | 0.7118   |
| 0.7703        | 12.02 | 2886  | 1.1037          | 0.7242   |
| 0.0957        | 13.02 | 3108  | 1.0967          | 0.7706   |
| 0.3202        | 14.02 | 3330  | 1.0479          | 0.7545   |
| 0.3634        | 15.02 | 3552  | 1.0714          | 0.8057   |
| 0.3883        | 16.02 | 3774  | 1.2323          | 0.7498   |
| 0.0322        | 17.02 | 3996  | 1.0504          | 0.7848   |
| 0.5108        | 18.02 | 4218  | 1.1356          | 0.7915   |
| 0.309         | 19.02 | 4440  | 1.1409          | 0.7592   |
| 0.56          | 20.02 | 4662  | 1.0828          | 0.7915   |
| 0.3675        | 21.02 | 4884  | 0.9154          | 0.8123   |
| 0.0076        | 22.02 | 5106  | 1.0974          | 0.8133   |
| 0.0451        | 23.02 | 5328  | 1.0361          | 0.8152   |
| 0.2558        | 24.02 | 5550  | 0.7830          | 0.8237   |
| 0.0125        | 25.02 | 5772  | 0.8728          | 0.8171   |
| 0.4184        | 26.02 | 5994  | 0.8413          | 0.8265   |
| 0.2566        | 27.02 | 6216  | 1.0644          | 0.8009   |
| 0.1257        | 28.02 | 6438  | 0.8641          | 0.8265   |
| 0.1326        | 29.02 | 6660  | 0.8444          | 0.8417   |
| 0.0436        | 30.02 | 6882  | 0.8615          | 0.8322   |
| 0.0408        | 31.02 | 7104  | 0.8075          | 0.8332   |
| 0.0316        | 32.02 | 7326  | 0.8699          | 0.8341   |
| 0.2235        | 33.02 | 7548  | 0.8151          | 0.8455   |
| 0.0079        | 34.02 | 7770  | 0.8099          | 0.8550   |
| 0.001         | 35.02 | 7992  | 0.8640          | 0.8370   |
| 0.0007        | 36.02 | 8214  | 0.7146          | 0.8483   |
| 0.464         | 37.02 | 8436  | 0.7917          | 0.8464   |
| 0.0005        | 38.02 | 8658  | 0.7239          | 0.8531   |
| 0.0004        | 39.02 | 8880  | 0.7702          | 0.8701   |
| 0.1705        | 40.02 | 9102  | 0.7543          | 0.8521   |
| 0.0039        | 41.02 | 9324  | 0.7456          | 0.8673   |
| 0.0168        | 42.02 | 9546  | 0.7255          | 0.8730   |
| 0.2615        | 43.02 | 9768  | 0.7453          | 0.8758   |
| 0.0004        | 44.02 | 9990  | 0.6824          | 0.8806   |
| 0.236         | 45.02 | 10212 | 0.6624          | 0.8825   |
| 0.0007        | 46.02 | 10434 | 0.6727          | 0.8815   |
| 0.0004        | 47.02 | 10656 | 0.6478          | 0.8863   |
| 0.268         | 48.02 | 10878 | 0.6309          | 0.8900   |
| 0.0025        | 49.02 | 11100 | 0.6284          | 0.8900   |


### Framework versions

- Transformers 4.33.2
- Pytorch 1.12.1+cu113
- Datasets 2.14.5
- Tokenizers 0.13.3