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
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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-elderf1
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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-elderf1
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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: 1.7033
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- Accuracy: 0.3481
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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: 0.001
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 720
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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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| 1.7358 | 0.1 | 73 | 1.6923 | 0.3408 |
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| 1.7163 | 1.1 | 146 | 1.6662 | 0.3373 |
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| 1.7018 | 2.1 | 219 | 1.6378 | 0.3408 |
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| 1.7334 | 3.1 | 292 | 1.6563 | 0.3401 |
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| 1.672 | 4.1 | 365 | 1.6568 | 0.2398 |
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| 1.7095 | 5.1 | 438 | 1.6313 | 0.3387 |
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| 1.7119 | 6.1 | 511 | 1.6309 | 0.3408 |
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| 1.6981 | 7.1 | 584 | 1.6518 | 0.3289 |
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| 1.7066 | 8.1 | 657 | 1.6313 | 0.3310 |
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| 1.6476 | 9.09 | 720 | 1.6338 | 0.3289 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1.0+cu121
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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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-
oid sha256:
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size 344949680
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version https://git-lfs.github.com/spec/v1
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oid sha256:78cec7f2774661db92d353fb8ca5d19bc8f13122ccf1a4029a1cf1364862d5cc
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size 344949680
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