---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base-finetuned-kinetics
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-kinetics-finetuned-conflab-traj-direction-rh-v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# videomae-base-finetuned-kinetics-finetuned-conflab-traj-direction-rh-v2

This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7062
- Accuracy: 0.5512

## 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: 8
- eval_batch_size: 8
- 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: 1053

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.9728        | 0.1121 | 118  | 1.8082          | 0.2913   |
| 1.5903        | 1.1121 | 236  | 1.8038          | 0.3786   |
| 1.2371        | 2.1121 | 354  | 1.4667          | 0.4563   |
| 0.9635        | 3.1121 | 472  | 1.4187          | 0.5631   |
| 0.3984        | 4.1121 | 590  | 1.3990          | 0.5631   |
| 0.1962        | 5.1121 | 708  | 1.4243          | 0.5825   |
| 0.1952        | 6.1121 | 826  | 1.5571          | 0.6019   |
| 0.0319        | 7.1121 | 944  | 1.5844          | 0.5874   |
| 0.0203        | 8.1035 | 1053 | 1.5794          | 0.6214   |


### Framework versions

- Transformers 4.41.0
- Pytorch 1.12.0+cu116
- Datasets 2.19.1
- Tokenizers 0.19.1