NimaBoscarino commited on
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Files changed (3) hide show
  1. README.md +46 -0
  2. config.json +8 -4
  3. tf_model.h5 +3 -0
README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: clip-vit-large-patch14-336
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information Keras had access to. You should
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+ probably proofread and complete it, then remove this comment. -->
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+
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+ # clip-vit-large-patch14-336
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+
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+ This model was trained from scratch on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - optimizer: None
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+ - training_precision: float32
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.21.3
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+ - TensorFlow 2.8.2
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+ - Tokenizers 0.12.1
config.json CHANGED
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  {
 
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  "architectures": [
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  "CLIPModel"
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  ],
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  "pad_token_id": 1,
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  "prefix": null,
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  "problem_type": null,
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- "projection_dim" : 768,
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  "pruned_heads": {},
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  "remove_invalid_values": false,
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  "repetition_penalty": 1.0,
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  "sep_token_id": null,
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  "task_specific_params": null,
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  "temperature": 1.0,
 
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  "tie_encoder_decoder": false,
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  "tie_word_embeddings": true,
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  "tokenizer_class": null,
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  "top_p": 1.0,
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  "torch_dtype": null,
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  "torchscript": false,
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- "transformers_version": "4.18.0.dev0",
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  "typical_p": 1.0,
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  "use_bfloat16": false,
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  "vocab_size": 49408
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  "num_attention_heads": 16,
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  "num_beam_groups": 1,
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  "num_beams": 1,
 
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  "num_hidden_layers": 24,
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  "num_return_sequences": 1,
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  "output_attentions": false,
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  "patch_size": 14,
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  "prefix": null,
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  "problem_type": null,
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- "projection_dim" : 768,
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  "pruned_heads": {},
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  "remove_invalid_values": false,
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  "repetition_penalty": 1.0,
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  "sep_token_id": null,
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  "task_specific_params": null,
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  "temperature": 1.0,
 
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  "tie_encoder_decoder": false,
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  "tie_word_embeddings": true,
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  "tokenizer_class": null,
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  "top_p": 1.0,
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  "torch_dtype": null,
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  "torchscript": false,
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- "transformers_version": "4.18.0.dev0",
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  "typical_p": 1.0,
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  "use_bfloat16": false
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  },
 
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  {
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+ "_name_or_path": "openai/clip-vit-large-patch14-336",
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  "architectures": [
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  "CLIPModel"
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  ],
 
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  "pad_token_id": 1,
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  "prefix": null,
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  "problem_type": null,
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+ "projection_dim": 768,
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  "pruned_heads": {},
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  "remove_invalid_values": false,
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  "repetition_penalty": 1.0,
 
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  "sep_token_id": null,
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  "task_specific_params": null,
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  "temperature": 1.0,
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+ "tf_legacy_loss": false,
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  "tie_encoder_decoder": false,
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  "tie_word_embeddings": true,
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  "tokenizer_class": null,
 
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  "top_p": 1.0,
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  "torch_dtype": null,
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  "torchscript": false,
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+ "transformers_version": "4.21.3",
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  "typical_p": 1.0,
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  "use_bfloat16": false,
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  "vocab_size": 49408
 
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  "num_attention_heads": 16,
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  "num_beam_groups": 1,
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  "num_beams": 1,
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+ "num_channels": 3,
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  "num_hidden_layers": 24,
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  "num_return_sequences": 1,
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  "output_attentions": false,
 
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  "patch_size": 14,
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  "prefix": null,
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  "problem_type": null,
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+ "projection_dim": 768,
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  "pruned_heads": {},
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  "remove_invalid_values": false,
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  "repetition_penalty": 1.0,
 
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  "sep_token_id": null,
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  "task_specific_params": null,
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  "temperature": 1.0,
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+ "tf_legacy_loss": false,
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  "tie_encoder_decoder": false,
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  "tie_word_embeddings": true,
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  "tokenizer_class": null,
 
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  "top_p": 1.0,
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  "torch_dtype": null,
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  "torchscript": false,
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+ "transformers_version": "4.21.3",
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  "typical_p": 1.0,
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  "use_bfloat16": false
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  },
tf_model.h5 ADDED
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