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-Fear11
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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-Fear11
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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: 0.3036
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- Accuracy: 0.908
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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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| 0.4132 | 0.1 | 39 | 0.2544 | 0.9309 |
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| 0.4058 | 1.1 | 78 | 0.2650 | 0.9309 |
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| 0.351 | 2.1 | 117 | 0.3078 | 0.9309 |
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| 0.399 | 3.1 | 156 | 0.2530 | 0.9309 |
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| 0.3695 | 4.1 | 195 | 0.2489 | 0.9309 |
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| 0.3783 | 5.1 | 234 | 0.2386 | 0.9309 |
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| 0.3474 | 6.1 | 273 | 0.2566 | 0.9284 |
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| 0.3682 | 7.1 | 312 | 0.2381 | 0.9309 |
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| 0.2805 | 8.1 | 351 | 0.2404 | 0.9296 |
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| 0.3692 | 9.08 | 380 | 0.2461 | 0.9284 |
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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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