Model save
Browse files- README.md +53 -0
- config.json +22 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
README.md
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---
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base_model: openai/clip-vit-base-patch32
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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model-index:
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- name: clip-finetuned
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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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# clip-finetuned
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This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on the imagefolder 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: 64
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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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- num_epochs: 3.0
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### Training results
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### Framework versions
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- Transformers 4.38.0.dev0
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- Pytorch 2.1.2
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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config.json
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{
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"_name_or_path": "openai/clip-vit-base-patch32",
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"architectures": [
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"CLIPModel"
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],
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"initializer_factor": 1.0,
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"logit_scale_init_value": 2.6592,
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"model_type": "clip",
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"projection_dim": 512,
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"text_config": {
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"bos_token_id": 0,
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"dropout": 0.0,
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"eos_token_id": 2,
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"model_type": "clip_text_model"
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},
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"torch_dtype": "float32",
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"transformers_version": "4.38.0.dev0",
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"vision_config": {
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"dropout": 0.0,
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"model_type": "clip_vision_model"
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}
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5d1f4ae776ead6d3fb34cbe3c30a1c860f062ed2b71afbe0f8ea8fc105ab5699
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size 605156676
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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:f0873091b7208d27226f0d2a6471077bb2f6115ce58bb370703f192d4e211a62
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size 4728
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