SSBD video classifier via CLIP embeddings
Browse files- README.md +45 -0
- gdm3-config-err-uM3pFx +0 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: tmp
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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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# tmp
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This model was trained from scratch on an unknown dataset.
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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: 32
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- eval_batch_size: 64
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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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- num_epochs: 3.0
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### Framework versions
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- Transformers 4.33.2
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- Pytorch 2.0.1+cu117
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- Tokenizers 0.13.3
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gdm3-config-err-uM3pFx
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:816dd76f03454d1aeeaec0a3d634fbc0ad4ea2c888520d140acbc4969ddb1048
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size 50728202
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e6163f2fafbd0c3c343b95629c1ca4c361b9d34749d66b8095bf55de600f1161
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size 4027
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