Model save
Browse files- README.md +68 -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
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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: 0.5305
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- Accuracy: 0.7871
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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: 148
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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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| 2.3271 | 0.13 | 19 | 2.1350 | 0.2429 |
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| 1.9566 | 1.13 | 38 | 1.4260 | 0.5857 |
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| 1.0941 | 2.13 | 57 | 0.8857 | 0.7143 |
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| 0.5363 | 3.13 | 76 | 0.6664 | 0.7143 |
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| 0.3392 | 4.13 | 95 | 0.4023 | 0.9143 |
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| 0.1765 | 5.13 | 114 | 0.3487 | 0.9 |
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| 0.1318 | 6.13 | 133 | 0.3181 | 0.9 |
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| 0.1092 | 7.1 | 148 | 0.2886 | 0.9 |
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 345003509
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version https://git-lfs.github.com/spec/v1
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size 345003509
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