Model save
Browse files- README.md +70 -0
- pytorch_model.bin +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-base
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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-OKN-Test-V27
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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-OKN-Test-V27
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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: 0.0009
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- Accuracy: 1.0
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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: 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: 400
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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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| 0.3018 | 0.1 | 41 | 0.2653 | 0.8421 |
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| 0.4595 | 1.1 | 82 | 0.3113 | 0.7895 |
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| 0.4487 | 2.1 | 123 | 0.3188 | 0.8421 |
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| 0.1211 | 3.1 | 164 | 0.8331 | 0.8421 |
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| 0.309 | 4.1 | 205 | 0.2910 | 0.8947 |
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| 0.1185 | 5.1 | 246 | 0.2096 | 0.8421 |
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| 0.2193 | 6.1 | 287 | 0.3113 | 0.8947 |
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| 0.056 | 7.1 | 328 | 0.0009 | 1.0 |
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| 0.002 | 8.1 | 369 | 0.0007 | 1.0 |
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| 0.0005 | 9.08 | 400 | 0.0006 | 1.0 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 344978933
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version https://git-lfs.github.com/spec/v1
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size 344978933
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