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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ library_name: transformers
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+ license: other
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+ base_model: gemma-3-27b-it
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+ tags:
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+ - llama-factory
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+ - full
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+ - generated_from_trainer
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+ model-index:
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+ - name: VecGlypher-27b-it
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+ results: []
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+ ---
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+
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+ This is the model weight of VecGlypher https://github.com/xk-huang/VecGlypher.
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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: 1e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 32
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 128
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+ - total_eval_batch_size: 32
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.01
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+ - num_epochs: 3.0
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+
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+ ### Framework versions
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+
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+ - Transformers 4.52.4
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.1
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+ {
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+ "<image_soft_token>": 262144,
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+ "<|SEP|>": 262145
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+ }
all_results.json ADDED
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+ {
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+ "epoch": 3.0,
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+ "eval_ood_font_family_decon_loss": 0.5266516208648682,
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+ "eval_ood_font_family_decon_runtime": 748.9247,
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+ "eval_ood_font_family_decon_samples_per_second": 41.433,
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+ "eval_ood_font_family_decon_steps_per_second": 1.295,
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+ "total_flos": 1.4987532993298432e+16,
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+ "train_loss": 0.1726040010526606,
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+ "train_runtime": 67874.2861,
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+ "train_samples_per_second": 12.369,
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+ "train_steps_per_second": 0.097
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+ }
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+ {{ bos_token }}
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+ {%- if messages[0]['role'] == 'system' -%}
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+ {%- if messages[0]['content'] is string -%}
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+ {%- set first_user_prefix = messages[0]['content'] + '
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+
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+ ' -%}
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+ {%- else -%}
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+ {%- set first_user_prefix = messages[0]['content'][0]['text'] + '
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+
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+ ' -%}
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+ {%- endif -%}
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+ {%- set loop_messages = messages[1:] -%}
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+ {%- else -%}
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+ {%- set first_user_prefix = "" -%}
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+ {%- set loop_messages = messages -%}
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+ {%- endif -%}
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+ {%- for message in loop_messages -%}
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+ {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
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+ {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
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+ {%- endif -%}
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+ {%- if (message['role'] == 'assistant') -%}
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+ {%- set role = "model" -%}
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+ {%- else -%}
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+ {%- set role = message['role'] -%}
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+ {%- endif -%}
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+ {{ '<start_of_turn>' + role + '
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+ ' + (first_user_prefix if loop.first else "") }}
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+ {%- if message['content'] is string -%}
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+ {{ message['content'] | trim }}
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+ {%- elif message['content'] is iterable -%}
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+ {%- for item in message['content'] -%}
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+ {%- if item['type'] == 'image' -%}
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+ {{ '<start_of_image>' }}
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+ {%- elif item['type'] == 'text' -%}
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+ {{ item['text'] | trim }}
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+ {%- endif -%}
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+ {%- endfor -%}
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+ {%- else -%}
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+ {{ raise_exception("Invalid content type") }}
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+ {%- endif -%}
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+ {{ '<end_of_turn>
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+ ' }}
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+ {%- endfor -%}
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+ {%- if add_generation_prompt -%}
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+ {{'<start_of_turn>model
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+ '}}
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+ {%- endif -%}
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+ {
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+ "Gemma3ForConditionalGeneration"
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+ ],
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+ "hidden_size": 5376,
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+ "initializer_range": 0.02,
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+ "mm_tokens_per_image": 256,
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+ "model_type": "gemma3",
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+ "text_config": {
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "attn_logit_softcapping": null,
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+ "cache_implementation": "hybrid",
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+ "final_logit_softcapping": null,
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+ "head_dim": 128,
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+ "hidden_activation": "gelu_pytorch_tanh",
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+ "hidden_size": 5376,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 21504,
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+ "max_position_embeddings": 131072,
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+ "model_type": "gemma3_text",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 62,
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+ "num_key_value_heads": 16,
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+ "query_pre_attn_scalar": 168,
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+ "rms_norm_eps": 1e-06,
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+ "rope_local_base_freq": 10000.0,
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+ "rope_scaling": {
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+ "factor": 8.0,
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+ "rope_type": "linear"
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+ },
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+ "rope_theta": 1000000.0,
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+ "sliding_window": 1024,
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+ "sliding_window_pattern": 6,
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+ "torch_dtype": "float32",
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+ "use_cache": false,
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+ "vocab_size": 262208
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+ },
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.52.4",
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+ "use_cache": false,
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+ "vision_config": {
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+ "attention_dropout": 0.0,
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+ "hidden_act": "gelu_pytorch_tanh",
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+ "hidden_size": 1152,
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+ "image_size": 896,
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+ "intermediate_size": 4304,
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+ "layer_norm_eps": 1e-06,
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+ "model_type": "siglip_vision_model",
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+ "num_attention_heads": 16,
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+ "num_channels": 3,
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+ "num_hidden_layers": 27,
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+ "patch_size": 14,
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+ "torch_dtype": "float32",
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+ "vision_use_head": false
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+ }
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+ }
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+ "eval_ood_font_family_decon_runtime": 748.9247,
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+ "eval_ood_font_family_decon_samples_per_second": 41.433,
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+ "eval_ood_font_family_decon_steps_per_second": 1.295
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+ }
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+ {
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+ "bos_token_id": 2,
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+ "do_sample": true,
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+ "pad_token_id": 0,
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+ "top_k": 64,
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+ "top_p": 0.95,
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+ "transformers_version": "4.52.4"
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