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axonhug
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paligemma_vqav2

Image-to-Text
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paligemma
Generated from Trainer
text-generation-inference
Model card Files
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  1. README.md +56 -0
  2. config.json +54 -0
  3. generation_config.json +8 -0
  4. model-00001-of-00002.safetensors +3 -0
  5. model-00002-of-00002.safetensors +3 -0
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  7. runs/Jan04_04-50-30_81a10a7986bd/events.out.tfevents.1735966263.81a10a7986bd.2983.0 +3 -0
  8. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: gemma
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+ base_model: google/paligemma2-3b-pt-224
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: paligemma_vqav2
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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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+ # paligemma_vqav2
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+
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+ This model is a fine-tuned version of [google/paligemma2-3b-pt-224](https://huggingface.co/google/paligemma2-3b-pt-224) 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: 2e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 4
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+ - optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 2
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+ - num_epochs: 2
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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 4.48.0.dev0
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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+ {
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+ "_name_or_path": "google/paligemma2-3b-pt-224",
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+ "_vocab_size": 257152,
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+ "architectures": [
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+ "PaliGemmaForConditionalGeneration"
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+ ],
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+ "bos_token_id": 2,
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+ "eos_token_id": 1,
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+ "hidden_size": 2048,
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+ "image_token_index": 257152,
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+ "model_type": "paligemma",
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+ "num_hidden_layers": 26,
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+ "pad_token_id": 0,
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+ "projection_dim": 2304,
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+ "text_config": {
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+ "architectures": [
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+ "Gemma2ForCausalLM"
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+ ],
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+ "attn_logit_softcapping": 50.0,
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+ "cache_implementation": "hybrid",
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+ "eos_token_id": [
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+ 1,
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+ 107
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+ ],
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+ "final_logit_softcapping": 30.0,
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+ "hidden_act": "gelu_pytorch_tanh",
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+ "hidden_activation": "gelu_pytorch_tanh",
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+ "hidden_size": 2304,
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+ "intermediate_size": 9216,
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+ "model_type": "gemma2",
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+ "num_hidden_layers": 26,
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+ "num_image_tokens": 256,
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+ "num_key_value_heads": 4,
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+ "query_pre_attn_scalar": 256,
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+ "sliding_window": 4096,
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+ "torch_dtype": "bfloat16",
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+ "vocab_size": 257216
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+ },
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.48.0.dev0",
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+ "vision_config": {
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+ "patch_size": 14,
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+ "torch_dtype": "bfloat16",
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+ "vision_use_head": false
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+ }
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+ }
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