Model save
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- 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-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-finetuned-ElderReact-Surprise11
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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-ElderReact-Surprise11
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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: 0.6381
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- Accuracy: 0.652
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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: 16
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- eval_batch_size: 16
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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: 380
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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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| 0.7047 | 0.1 | 39 | 0.6542 | 0.5892 |
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| 0.7111 | 1.1 | 78 | 0.6551 | 0.5854 |
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| 0.6839 | 2.1 | 117 | 0.6406 | 0.6508 |
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| 0.6872 | 3.1 | 156 | 0.6314 | 0.6307 |
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| 0.6678 | 4.1 | 195 | 0.6236 | 0.6671 |
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| 0.5806 | 5.1 | 234 | 0.6078 | 0.6482 |
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| 0.5697 | 6.1 | 273 | 0.6825 | 0.5980 |
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| 0.6127 | 7.1 | 312 | 0.6446 | 0.6005 |
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| 0.5645 | 8.1 | 351 | 0.6240 | 0.6307 |
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| 0.549 | 9.08 | 380 | 0.6290 | 0.6181 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1.0+cu121
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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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-
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size 344937368
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version https://git-lfs.github.com/spec/v1
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size 344937368
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