architecture: backbone_dtype: bfloat16 force_embedding_gradients: false gradient_checkpointing: true intermediate_dropout: 0.0 pretrained: true pretrained_weights: '' siamese: true augmentation: neftune_noise_alpha: 0.0 random_parent_probability: 0.0 skip_parent_probability: 0.0 token_mask_probability: 0.0 dataset: add_eos_token_to_answer: false add_eos_token_to_prompt: false add_eos_token_to_system: false answer_column: label chatbot_author: H2O.ai chatbot_name: h2oGPT data_sample: 1.0 data_sample_choice: [] limit_chained_samples: false mask_prompt_labels: true num_classes: 3 parent_id_column: None personalize: false prompt_column: - text system_column: None text_answer_separator: '' text_prompt_start: '' text_system_start: '' train_dataframe: /home/philipp/h2o-llmstudio/data/user/lmsys/train_siamese_v1.pq validation_dataframe: /home/philipp/h2o-llmstudio/data/user/lmsys/val_siamese_v1.pq validation_size: 0.1 validation_strategy: custom environment: compile_model: false deepspeed_allgather_bucket_size: 1000000 deepspeed_method: ZeRO2 deepspeed_reduce_bucket_size: 1000000 deepspeed_stage3_param_persistence_threshold: 1000000 deepspeed_stage3_prefetch_bucket_size: 1000000 find_unused_parameters: false gpus: - '0' - '1' - '2' huggingface_branch: main mixed_precision: true mixed_precision_dtype: bfloat16 number_of_workers: 8 seed: -1 trust_remote_code: true use_deepspeed: false experiment_name: important-monkey-siamese-v2 llm_backbone: microsoft/Phi-3-mini-4k-instruct logging: logger: Neptune neptune_project: Zoo/kaggle-lmsys output_directory: /home/philipp/h2o-llmstudio/output/user/important-monkey-siamese-v2/ prediction: batch_size_inference: 0 metric: LogLoss problem_type: text_causal_classification_modeling tokenizer: add_prompt_answer_tokens: false max_length: 4096 max_length_answer: 4096 max_length_prompt: 4096 padding_quantile: 1.0 use_fast: true training: batch_size: 2 differential_learning_rate: 1.0e-05 differential_learning_rate_layers: - classification_head drop_last_batch: true epochs: 1 evaluate_before_training: false evaluation_epochs: 0.25 grad_accumulation: 1 gradient_clip: 0.0 learning_rate: 0.0001 lora: true lora_alpha: 32 lora_dropout: 0.0 lora_r: 16 lora_target_modules: '' loss_function: CrossEntropyLoss optimizer: AdamW save_checkpoint: last schedule: Cosine train_validation_data: false use_flash_attention_2: true warmup_epochs: 0.0 weight_decay: 0.0