Model save
Browse files- README.md +68 -0
- pytorch_model.bin +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-test-small-aug-finetuned-SLT-subset
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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-test-small-aug-finetuned-SLT-subset
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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: 0.7786
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- Accuracy: 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: 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: 16
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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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| No log | 0.12 | 2 | 1.3221 | 0.5 |
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| No log | 1.12 | 4 | 1.1049 | 0.5 |
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| No log | 2.12 | 6 | 0.9825 | 0.5 |
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| No log | 3.12 | 8 | 0.8929 | 0.75 |
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| 1.2166 | 4.12 | 10 | 0.8538 | 0.5 |
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| 1.2166 | 5.12 | 12 | 0.8157 | 0.5 |
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| 1.2166 | 6.12 | 14 | 0.7909 | 1.0 |
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| 1.2166 | 7.12 | 16 | 0.7786 | 1.0 |
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### Framework versions
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- Transformers 4.33.0
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- Pytorch 2.0.0+cpu
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- Datasets 2.1.0
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 344982517
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version https://git-lfs.github.com/spec/v1
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oid sha256:0275bfb1ed1e1a5d660f4fe0efc69855c8e0e4dc153cce498375f5344c366cb7
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size 344982517
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