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Browse files- README.md +68 -0
- 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-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-finetuned-kinetics-finetuned-right-hand-conflab-v3
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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-kinetics-finetuned-right-hand-conflab-v3
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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: 1.3489
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- Accuracy: 0.5813
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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: 8
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- eval_batch_size: 8
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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: 936
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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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| 1.9096 | 0.1261 | 118 | 1.6888 | 0.3333 |
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| 1.628 | 1.1261 | 236 | 1.6285 | 0.4118 |
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| 1.3656 | 2.1261 | 354 | 1.3947 | 0.5147 |
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| 1.1498 | 3.1261 | 472 | 1.2639 | 0.5735 |
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| 0.6546 | 4.1261 | 590 | 1.2054 | 0.5882 |
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| 0.4812 | 5.1261 | 708 | 1.2695 | 0.5490 |
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| 0.4631 | 6.1261 | 826 | 1.2095 | 0.6078 |
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| 0.2311 | 7.1175 | 936 | 1.1960 | 0.5980 |
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### Framework versions
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- Transformers 4.41.0
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- Pytorch 1.12.0+cu116
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 344955792
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version https://git-lfs.github.com/spec/v1
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oid sha256:7bf435557a110017fc69b209c90c5c040ae5d8b447273fb4186b7fc6840d15e6
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size 344955792
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