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--- |
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license: cc-by-nc-4.0 |
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base_model: shossain11/videomae-base-finetuned-inhard-finetuned-inhard2 |
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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-inhard-finetuned-inhard2-finetuned-inhard3 |
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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-inhard-finetuned-inhard2-finetuned-inhard3 |
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This model is a fine-tuned version of [shossain11/videomae-base-finetuned-inhard-finetuned-inhard2](https://huggingface.co/shossain11/videomae-base-finetuned-inhard-finetuned-inhard2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1820 |
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- Accuracy: 0.6987 |
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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: 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: 9580 |
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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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| 1.3379 | 0.2 | 1916 | 1.3811 | 0.6337 | |
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| 0.8188 | 1.2 | 3832 | 1.8435 | 0.5272 | |
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| 0.5813 | 2.2 | 5748 | 1.1628 | 0.7203 | |
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| 0.5712 | 3.2 | 7664 | 1.1364 | 0.6970 | |
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| 0.723 | 4.2 | 9580 | 1.0294 | 0.7303 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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