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README.md
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---
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license: cc-by-nc-4.0
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base_model: MCG-NJU/videomae-base-finetuned-kinetics
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: videomae-base-finetuned-kinetics-finetuned-conflab-traj-direction-rh-v2
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# videomae-base-finetuned-kinetics-finetuned-conflab-traj-direction-rh-v2
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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.
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It achieves the following results on the evaluation set:
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- Loss: 1.7062
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- Accuracy: 0.5512
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- training_steps: 1053
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 1.9728 | 0.1121 | 118 | 1.8082 | 0.2913 |
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| 1.5903 | 1.1121 | 236 | 1.8038 | 0.3786 |
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| 1.2371 | 2.1121 | 354 | 1.4667 | 0.4563 |
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| 0.9635 | 3.1121 | 472 | 1.4187 | 0.5631 |
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| 0.3984 | 4.1121 | 590 | 1.3990 | 0.5631 |
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| 0.1962 | 5.1121 | 708 | 1.4243 | 0.5825 |
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| 0.1952 | 6.1121 | 826 | 1.5571 | 0.6019 |
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| 0.0319 | 7.1121 | 944 | 1.5844 | 0.5874 |
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| 0.0203 | 8.1035 | 1053 | 1.5794 | 0.6214 |
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### Framework versions
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- Transformers 4.41.0
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- Pytorch 1.12.0+cu116
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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