Model save
Browse files- README.md +72 -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-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-base-fatigue-detection-full
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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-fatigue-detection-full
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This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.7131
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- Accuracy: 0.5080
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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: 2457.0
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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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| 0.0402 | 0.08 | 200 | 1.2844 | 0.4647 |
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| 0.0003 | 0.16 | 400 | 1.6560 | 0.4692 |
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| 0.0001 | 0.24 | 600 | 2.0519 | 0.4510 |
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| 0.0001 | 0.33 | 800 | 1.6676 | 0.4396 |
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| 0.0001 | 1.07 | 1000 | 2.1058 | 0.4305 |
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| 0.0001 | 1.15 | 1200 | 2.1659 | 0.4419 |
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| 0.0 | 1.24 | 1400 | 2.2195 | 0.4374 |
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| 0.0 | 1.32 | 1600 | 2.3093 | 0.4351 |
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| 0.0013 | 2.07 | 1800 | 2.1501 | 0.5604 |
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| 0.0 | 2.15 | 2000 | 2.2250 | 0.5148 |
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| 0.0 | 2.23 | 2200 | 2.6678 | 0.5330 |
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| 0.0 | 2.31 | 2400 | 2.7131 | 0.5080 |
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### Framework versions
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- Transformers 4.33.1
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- Pytorch 2.1.2
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- Datasets 2.1.0
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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 344982450
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version https://git-lfs.github.com/spec/v1
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oid sha256:2d1e94103afa24344137155cb22e69d985f8fff3cd49cdc6e7cb1985f7d56c22
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size 344982450
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