Model save
Browse files- README.md +69 -0
- model.safetensors +1 -1
README.md
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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-lift-data-resize
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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-lift-data-resize
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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: 0.8146
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- Accuracy: 0.7681
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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: 8
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- eval_batch_size: 8
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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: 156
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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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| 1.5758 | 0.1282 | 20 | 1.6619 | 0.2901 |
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| 1.3067 | 1.1282 | 40 | 1.6048 | 0.2990 |
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| 1.3787 | 2.1282 | 60 | 1.4723 | 0.3181 |
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| 1.1642 | 3.1282 | 80 | 1.4191 | 0.3004 |
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| 1.1172 | 4.1282 | 100 | 1.2374 | 0.3196 |
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| 0.8982 | 5.1282 | 120 | 1.0099 | 0.5655 |
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| 0.915 | 6.1282 | 140 | 0.9540 | 0.5891 |
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| 0.7809 | 7.1026 | 156 | 0.9189 | 0.5714 |
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### Framework versions
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- Transformers 4.45.2
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- Pytorch 2.0.1+cu118
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- Datasets 3.0.1
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- Tokenizers 0.20.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 344946604
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version https://git-lfs.github.com/spec/v1
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size 344946604
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