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--- |
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library_name: transformers |
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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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model-index: |
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- name: videomae-base-readminds-assignment |
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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-readminds-assignment |
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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: 1.5827 |
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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: 2 |
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- eval_batch_size: 2 |
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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: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.5236 | 0.12 | 12 | 1.4575 | |
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| 1.1957 | 1.12 | 24 | 1.4403 | |
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| 0.7669 | 2.12 | 36 | 1.4573 | |
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| 0.4632 | 3.12 | 48 | 1.5034 | |
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| 0.299 | 4.12 | 60 | 1.5987 | |
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| 0.1672 | 5.12 | 72 | 1.5975 | |
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| 0.0682 | 6.12 | 84 | 1.5670 | |
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| 0.0324 | 7.12 | 96 | 1.5827 | |
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| 0.0155 | 8.04 | 100 | 1.5827 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.0 |
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