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ViMATCHA

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TeeA/ViMATCHA

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  1. README.md +52 -0
  2. config.json +31 -0
  3. generation_config.json +8 -0
  4. model.safetensors +3 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google/matcha-chartqa
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: ViMATCHA
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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 the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # ViMATCHA
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+
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+ This model is a fine-tuned version of [google/matcha-chartqa](https://huggingface.co/google/matcha-chartqa) on an unknown dataset.
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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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+ - learning_rate: 5e-05
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+ - train_batch_size: 4
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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: 1
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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 4.40.1
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.0
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+ - Tokenizers 0.19.1
config.json ADDED
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+ "_name_or_path": "google/matcha-chartqa",
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+ "architectures": [
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+ "Pix2StructForConditionalGeneration"
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+ ],
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+ "decoder_start_token_id": 17830,
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+ "initializer_factor": 1.0,
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+ "is_encoder_decoder": true,
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+ "is_vqa": false,
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+ "model_type": "pix2struct",
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+ "pad_token_id": 0,
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+ "text_config": {
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+ "encoder_hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "model_type": "pix2struct_text_model",
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+ "vocab_size": 17831
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+ },
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.40.1",
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+ "vision_config": {
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+ "layer_norm_bias": false,
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+ "model_type": "pix2struct_vision_model",
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+ "num_channels": 3,
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+ "patch_size": 16,
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+ "projection_dim": 768
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+ }
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+ }
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