---
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: CTMAE2_CS_V7_5
  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. -->

# CTMAE2_CS_V7_5

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: 0.3647
- 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: 4
- eval_batch_size: 4
- 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: 9700

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 0.6793        | 0.0201  | 195  | 0.7616          | 0.4667   |
| 0.5591        | 1.0201  | 390  | 0.7040          | 0.4667   |
| 0.7211        | 2.0201  | 585  | 0.4916          | 0.8222   |
| 0.5544        | 3.0201  | 780  | 0.7590          | 0.5556   |
| 0.6032        | 4.0201  | 975  | 0.5508          | 0.6667   |
| 0.518         | 5.0201  | 1170 | 0.8928          | 0.4667   |
| 0.4857        | 6.0201  | 1365 | 0.5889          | 0.6222   |
| 0.3634        | 7.0201  | 1560 | 0.8523          | 0.6444   |
| 0.4082        | 8.0201  | 1755 | 0.3647          | 0.8667   |
| 0.4897        | 9.0201  | 1950 | 0.5648          | 0.7778   |
| 0.389         | 10.0201 | 2145 | 0.5736          | 0.7778   |
| 0.3753        | 11.0201 | 2340 | 1.0849          | 0.5778   |
| 0.3118        | 12.0201 | 2535 | 1.0598          | 0.6222   |
| 0.5823        | 13.0201 | 2730 | 0.7086          | 0.7333   |
| 0.2604        | 14.0201 | 2925 | 1.4168          | 0.6222   |
| 0.5767        | 15.0201 | 3120 | 0.7966          | 0.8      |
| 0.4844        | 16.0201 | 3315 | 1.0488          | 0.7333   |
| 0.0729        | 17.0201 | 3510 | 1.0075          | 0.7333   |
| 0.4188        | 18.0201 | 3705 | 1.2724          | 0.7111   |
| 0.247         | 19.0201 | 3900 | 1.3884          | 0.7556   |
| 0.8041        | 20.0201 | 4095 | 1.1552          | 0.7333   |
| 0.168         | 21.0201 | 4290 | 1.7924          | 0.6889   |
| 0.2564        | 22.0201 | 4485 | 1.5682          | 0.7333   |
| 0.2034        | 23.0201 | 4680 | 1.6061          | 0.6889   |
| 0.436         | 24.0201 | 4875 | 1.5508          | 0.6889   |
| 0.379         | 25.0201 | 5070 | 1.6198          | 0.7111   |
| 0.0726        | 26.0201 | 5265 | 2.3293          | 0.6      |
| 0.0099        | 27.0201 | 5460 | 1.7658          | 0.7333   |
| 0.0346        | 28.0201 | 5655 | 1.5937          | 0.7111   |
| 0.0058        | 29.0201 | 5850 | 2.3511          | 0.6444   |
| 0.1163        | 30.0201 | 6045 | 1.7068          | 0.7333   |
| 0.0962        | 31.0201 | 6240 | 1.8767          | 0.6889   |
| 0.2826        | 32.0201 | 6435 | 2.1657          | 0.7111   |
| 0.1249        | 33.0201 | 6630 | 1.7385          | 0.7333   |
| 0.2191        | 34.0201 | 6825 | 2.1789          | 0.7111   |
| 0.0958        | 35.0201 | 7020 | 2.4722          | 0.6444   |
| 0.0006        | 36.0201 | 7215 | 1.9177          | 0.7111   |
| 0.0036        | 37.0201 | 7410 | 1.9591          | 0.6889   |
| 0.0009        | 38.0201 | 7605 | 2.3993          | 0.6222   |
| 0.0005        | 39.0201 | 7800 | 1.7378          | 0.7778   |
| 0.0014        | 40.0201 | 7995 | 2.4454          | 0.6889   |
| 0.1203        | 41.0201 | 8190 | 2.1138          | 0.7333   |
| 0.0138        | 42.0201 | 8385 | 2.1769          | 0.7333   |
| 0.3569        | 43.0201 | 8580 | 2.6946          | 0.6222   |
| 0.0002        | 44.0201 | 8775 | 2.1566          | 0.7111   |
| 0.0924        | 45.0201 | 8970 | 2.4636          | 0.6667   |
| 0.0004        | 46.0201 | 9165 | 2.1076          | 0.7333   |
| 0.0645        | 47.0201 | 9360 | 2.1503          | 0.7111   |
| 0.1121        | 48.0201 | 9555 | 2.2611          | 0.7111   |
| 0.1268        | 49.0149 | 9700 | 2.1728          | 0.7111   |


### Framework versions

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