Model save
Browse files- README.md +78 -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-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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- precision
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- recall
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- f1
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model-index:
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- name: VideoMAE_LSA64SR_8_kineticsFinetuned
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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_LSA64SR_8_kineticsFinetuned
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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: 0.0005
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- Accuracy: 1.0
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- Precision: 1.0
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- Recall: 1.0
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- F1: 1.0
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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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- gradient_accumulation_steps: 4
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- total_train_batch_size: 8
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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: 5760
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 14.4931 | 0.05 | 288 | 2.1667 | 0.7617 | 0.7968 | 0.7617 | 0.7337 |
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| 2.5661 | 1.0500 | 576 | 0.2914 | 0.9805 | 0.9734 | 0.9805 | 0.9752 |
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| 0.27 | 2.0500 | 864 | 0.0165 | 1.0 | 1.0 | 1.0 | 1.0 |
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| 0.0167 | 3.0500 | 1152 | 0.0026 | 1.0 | 1.0 | 1.0 | 1.0 |
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| 0.037 | 4.0500 | 1440 | 0.0018 | 1.0 | 1.0 | 1.0 | 1.0 |
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| 0.045 | 5.0500 | 1728 | 0.0008 | 1.0 | 1.0 | 1.0 | 1.0 |
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| 0.006 | 6.0500 | 2016 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
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| 0.0022 | 7.0500 | 2304 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
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### Framework versions
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- Transformers 4.46.1
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- Pytorch 2.5.1+cu124
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- Datasets 3.1.0
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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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-
oid sha256:
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size 345128056
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version https://git-lfs.github.com/spec/v1
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oid sha256:3c9d6d999dc31a507079d7875b969506e6616b60a1b7f8eceafaf1bff08c7daf
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size 345128056
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