Image 1600 configuration

Author: jakep-allenai

olmocr/train/configs/qwen25_vl_b100_x1_default_image_1600.yaml

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+# Example OlmOCR Training Configuration
+
+# Project metadata
+project_name: olmocr-qwen-vl-training
+run_name: qwen2.5-vl-7b-finetune-default_image1280
+
+# Model configuration
+model:
+  name: Qwen/Qwen2.5-VL-7B-Instruct
+  trust_remote_code: true
+  torch_dtype: bfloat16
+  use_flash_attention: true
+  attn_implementation: flash_attention_2
+  
+  # LoRA settings (disabled by default)
+  use_lora: false
+  # lora_rank: 8
+  # lora_alpha: 32
+  # lora_dropout: 0.1
+  # lora_target_modules:
+  #   - q_proj
+  #   - v_proj
+  #   - k_proj
+  #   - o_proj
+
+# Dataset configuration
+dataset:
+
+  train:
+    - name: processed_01_books_train_iabooks
+      root_dir: /weka/oe-data-default/jakep/olmOCR-mix-0225/processed_01_books_train_iabooks/
+      pipeline: &basic_pipeline
+        - name: FrontMatterParser
+          front_matter_class: PageResponse
+        - name: PDFRenderer
+          target_longest_image_dim: 1600
+        - name: StaticLengthDocumentAnchoring
+          target_anchor_text_len: 3000
+        - name: FinetuningPrompt
+        - name: FrontMatterOutputFormat
+        - name: InstructUserMessages
+        - name: Tokenizer
+          masking_index: -100
+          end_of_message_token: "<|im_end|>"
+    - name: processed_00_documents_train_s2pdf
+      root_dir: /weka/oe-data-default/jakep/olmOCR-mix-0225/processed_00_documents_train_s2pdf/
+      pipeline: *basic_pipeline
+
+  eval:
+    - name: processed_00_documents_eval_s2pdf
+      root_dir: /weka/oe-data-default/jakep/olmOCR-mix-0225/processed_00_documents_eval_s2pdf/
+      pipeline: *basic_pipeline
+    - name: processed_01_books_eval_iabooks
+      root_dir: /weka/oe-data-default/jakep/olmOCR-mix-0225/processed_01_books_eval_iabooks/
+      pipeline: *basic_pipeline
+
+
+# Training configuration
+training:
+  output_dir: /weka/oe-data-default/jakep/olmocr-trainer/
+  num_train_epochs: 1
+  
+  # Batch size and accumulation
+  per_device_train_batch_size: 1
+  per_device_eval_batch_size: 1
+  gradient_accumulation_steps: 8
+
+  gradient_checkpointing: False
+  
+  # Learning rate
+  learning_rate: 1e-6
+  lr_scheduler_type: cosine
+  warmup_ratio: 0.1
+  
+  # Optimization
+  optim: adamw_torch
+  weight_decay: 0.01
+  max_grad_norm: 1.0
+  
+  
+  # Evaluation and checkpointing
+  evaluation_strategy: steps
+  eval_steps: 500
+  save_strategy: steps
+  save_steps: 500
+  save_total_limit: 5
+  load_best_model_at_end: true
+  metric_for_best_model: eval_processed_00_documents_eval_s2pdf_loss
+  greater_is_better: false
+  
+  report_to: 
+    - wandb
+