Model save
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- model.safetensors +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-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-base-finetuned-kinetics-finetuned-caer-final-4-epochs
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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-kinetics-finetuned-caer-final-4-epochs
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This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2584
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- Accuracy: 0.4643
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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: 6
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- eval_batch_size: 6
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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: 584
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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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| 1.3388 | 0.14 | 82 | 1.4802 | 0.3924 |
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| 1.1881 | 1.14 | 164 | 1.3926 | 0.3671 |
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| 0.9722 | 2.14 | 246 | 1.2269 | 0.5443 |
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| 0.6545 | 3.14 | 328 | 1.2294 | 0.4937 |
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| 0.5289 | 4.14 | 410 | 1.3318 | 0.4810 |
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| 0.2826 | 5.14 | 492 | 1.2542 | 0.4810 |
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| 0.2948 | 6.14 | 574 | 1.2193 | 0.5443 |
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| 0.1954 | 7.02 | 584 | 1.2166 | 0.5316 |
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### Framework versions
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- Transformers 4.39.0
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- Pytorch 2.1.0
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 344946564
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version https://git-lfs.github.com/spec/v1
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size 344946564
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