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Model save
Browse files- README.md +18 -6
- model.safetensors +1 -1
README.md
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This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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## Model description
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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:
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- eval_batch_size:
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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:
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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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### Framework versions
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This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0208
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- Accuracy: 0.2593
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## Model description
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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: 4
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- eval_batch_size: 4
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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: 200
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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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| 1.9193 | 0.08 | 16 | 1.9108 | 0.2344 |
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| 1.4025 | 1.08 | 32 | 2.0975 | 0.1094 |
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| 1.5413 | 2.08 | 48 | 2.0303 | 0.2969 |
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| 1.4147 | 3.08 | 64 | 2.3447 | 0.2969 |
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| 1.3804 | 4.08 | 80 | 2.4733 | 0.0469 |
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| 1.3687 | 5.08 | 96 | 2.4051 | 0.3438 |
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| 1.2929 | 6.08 | 112 | 2.3691 | 0.3125 |
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| 1.1661 | 7.08 | 128 | 2.6412 | 0.1875 |
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| 1.2024 | 8.08 | 144 | 2.6427 | 0.3125 |
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| 1.0824 | 9.08 | 160 | 2.7478 | 0.3594 |
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| 1.1011 | 10.08 | 176 | 2.7789 | 0.3594 |
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| 0.9492 | 11.08 | 192 | 2.7706 | 0.3281 |
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| 1.1232 | 12.04 | 200 | 2.7944 | 0.2969 |
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### Framework versions
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 344952756
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version https://git-lfs.github.com/spec/v1
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size 344952756
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