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--- |
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library_name: transformers |
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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-ucf101-subset |
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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-ucf101-subset |
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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: 3.0235 |
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- Accuracy: 0.2575 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 480 |
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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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| 4.2682 | 0.0646 | 31 | 4.2493 | 0.0033 | |
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| 4.2584 | 1.0646 | 62 | 4.2434 | 0.0134 | |
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| 4.2518 | 2.0646 | 93 | 4.2246 | 0.0167 | |
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| 4.2445 | 3.0646 | 124 | 4.2208 | 0.0067 | |
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| 4.2272 | 4.0646 | 155 | 4.2230 | 0.0100 | |
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| 4.205 | 5.0646 | 186 | 4.2111 | 0.0234 | |
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| 4.1238 | 6.0646 | 217 | 4.1112 | 0.0368 | |
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| 3.9136 | 7.0646 | 248 | 3.8530 | 0.0736 | |
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| 3.6241 | 8.0646 | 279 | 3.6734 | 0.1171 | |
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| 3.3103 | 9.0646 | 310 | 3.5261 | 0.1070 | |
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| 3.0981 | 10.0646 | 341 | 3.3860 | 0.1639 | |
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| 2.8216 | 11.0646 | 372 | 3.1791 | 0.2140 | |
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| 2.6108 | 12.0646 | 403 | 3.1618 | 0.2441 | |
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| 2.598 | 13.0646 | 434 | 3.0793 | 0.2341 | |
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| 2.5023 | 14.0646 | 465 | 3.0194 | 0.2575 | |
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| 2.513 | 15.0312 | 480 | 3.0668 | 0.2375 | |
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### Framework versions |
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- Transformers 4.48.0 |
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- Pytorch 2.5.1+cu118 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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