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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-small-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-small-finetuned-kinetics-finetuned-2
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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-small-finetuned-kinetics-finetuned-2
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This model is a fine-tuned version of [MCG-NJU/videomae-small-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-small-finetuned-kinetics) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6633
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- Accuracy: 0.7652
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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 OptimizerNames.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: 2260
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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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| 0.9644 | 0.1004 | 227 | 0.9733 | 0.5777 |
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| 0.8823 | 1.1004 | 454 | 0.8691 | 0.6676 |
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| 0.826 | 2.1004 | 681 | 0.8010 | 0.7094 |
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| 0.7422 | 3.1004 | 908 | 0.7514 | 0.7371 |
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| 0.7206 | 4.1004 | 1135 | 0.7170 | 0.7508 |
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| 0.6806 | 5.1004 | 1362 | 0.6924 | 0.7543 |
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| 0.6826 | 6.1004 | 1589 | 0.6757 | 0.7585 |
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| 0.6756 | 7.1004 | 1816 | 0.6652 | 0.7631 |
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| 0.6964 | 8.1004 | 2043 | 0.6591 | 0.7655 |
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| 0.6943 | 9.0960 | 2260 | 0.6571 | 0.7666 |
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### Framework versions
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- Transformers 4.47.1
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- Pytorch 2.5.0+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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