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End of training
Browse files- README.md +65 -0
- model.safetensors +1 -1
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-small-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-small-finetuned-ARSL-diverse-dataset
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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-small-finetuned-ARSL-diverse-dataset
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This model is a fine-tuned version of [MCG-NJU/videomae-small-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-small-finetuned-kinetics) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5045
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- Accuracy: 0.9663
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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: 2.5e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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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: 1437
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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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| 2.2899 | 0.21 | 298 | 2.2096 | 0.1685 |
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| 1.7238 | 1.21 | 596 | 1.3098 | 0.8652 |
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| 0.7663 | 2.21 | 894 | 0.7863 | 0.9101 |
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| 0.6536 | 3.21 | 1192 | 0.5533 | 0.9663 |
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| 0.6902 | 4.17 | 1437 | 0.5045 | 0.9663 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 87560336
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version https://git-lfs.github.com/spec/v1
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size 87560336
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