Model save
Browse files- README.md +82 -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
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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-good-gestureUnitsV3
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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-good-gestureUnitsV3
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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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- Accuracy: 0.8932
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- Loss: 0.3490
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- Accuracy Gunit: 0.5417
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- Accuracy Nothing: 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-06
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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: 340
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### Training results
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| Training Loss | Epoch | Step | Accuracy | Validation Loss | Accuracy Gunit | Accuracy Nothing |
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|:-------------:|:-----:|:----:|:--------:|:---------------:|:--------------:|:----------------:|
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| 0.7047 | 0.05 | 17 | 0.5620 | 0.7024 | 0.575 | 0.5556 |
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| 0.6958 | 1.05 | 34 | 0.3802 | 0.7165 | 0.725 | 0.2099 |
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| 0.6534 | 2.05 | 51 | 0.3719 | 0.7150 | 0.85 | 0.1358 |
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| 0.655 | 3.05 | 68 | 0.3223 | 0.7506 | 0.975 | 0.0 |
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| 0.6545 | 4.05 | 85 | 0.4298 | 0.6991 | 0.95 | 0.1728 |
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| 0.6321 | 5.05 | 102 | 0.4711 | 0.6750 | 0.95 | 0.2346 |
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| 0.5883 | 6.05 | 119 | 0.7438 | 0.6142 | 0.9 | 0.6667 |
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| 0.5045 | 7.05 | 136 | 0.8182 | 0.5495 | 0.9 | 0.7778 |
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| 0.455 | 8.05 | 153 | 0.7190 | 0.5723 | 0.925 | 0.6173 |
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| 0.4191 | 9.05 | 170 | 0.9339 | 0.3709 | 0.85 | 0.9753 |
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| 0.365 | 10.05 | 187 | 0.9091 | 0.3547 | 0.85 | 0.9383 |
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| 0.2593 | 11.05 | 204 | 0.8926 | 0.3632 | 0.85 | 0.9136 |
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| 0.2225 | 12.05 | 221 | 0.9421 | 0.2457 | 0.85 | 0.9877 |
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| 0.2121 | 13.05 | 238 | 0.9256 | 0.2619 | 0.85 | 0.9630 |
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| 0.1506 | 14.05 | 255 | 0.9504 | 0.2190 | 0.85 | 1.0 |
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| 0.1335 | 15.05 | 272 | 0.9339 | 0.2221 | 0.85 | 0.9753 |
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| 0.1039 | 16.05 | 289 | 0.9421 | 0.2107 | 0.85 | 0.9877 |
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| 0.1036 | 17.05 | 306 | 0.9421 | 0.2059 | 0.85 | 0.9877 |
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| 0.1019 | 18.05 | 323 | 0.9421 | 0.2063 | 0.85 | 0.9877 |
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| 0.1181 | 19.05 | 340 | 0.9504 | 0.2103 | 0.85 | 1.0 |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 344937368
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version https://git-lfs.github.com/spec/v1
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oid sha256:724aeea562bdc3591eb180ac80be5b09441406b42c9d2201e911093d089fa62c
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size 344937368
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