architecture: backbone_dtype: int4 force_embedding_gradients: false gradient_checkpointing: true intermediate_dropout: 0.0 pretrained: true pretrained_weights: '' augmentation: random_parent_probability: 0.0 skip_parent_probability: 0.0 token_mask_probability: 0.0 dataset: add_eos_token_to_answer: true add_eos_token_to_prompt: true add_eos_token_to_system: true answer_column: content chatbot_author: H2O.ai chatbot_name: h2oGPT data_sample: 1.0 data_sample_choice: - Train - Validation limit_chained_samples: false mask_prompt_labels: true parent_id_column: None personalize: false prompt_column: - instruction system_column: None text_answer_separator: <|answer|> text_prompt_start: <|prompt|> text_system_start: <|system|> train_dataframe: /home/fsuser/projects/h2o-llmstudio/data/user/influencers_data_formated.1/influencers_data_formated.csv validation_dataframe: None validation_size: 0.01 validation_strategy: automatic environment: compile_model: false find_unused_parameters: false gpus: - '0' huggingface_branch: main mixed_precision: true number_of_workers: 8 seed: -1 trust_remote_code: true use_fsdp: false experiment_name: delightful-quokka llm_backbone: h2oai/h2ogpt-4096-llama2-7b logging: logger: None neptune_project: '' output_directory: /home/fsuser/projects/h2o-llmstudio/output/user/delightful-quokka/ prediction: batch_size_inference: 0 do_sample: false max_length_inference: 256 metric: BLEU metric_gpt_model: gpt-3.5-turbo-0301 min_length_inference: 2 num_beams: 1 num_history: 4 repetition_penalty: 1.2 stop_tokens: '' temperature: 0.3 top_k: 0 top_p: 1.0 problem_type: text_causal_language_modeling tokenizer: add_prefix_space: false add_prompt_answer_tokens: false max_length: 4032 max_length_answer: 2016 max_length_prompt: 2016 padding_quantile: 1.0 use_fast: true training: batch_size: 2 differential_learning_rate: 1.0e-05 differential_learning_rate_layers: [] drop_last_batch: true epochs: 1 evaluate_before_training: false evaluation_epochs: 1.0 grad_accumulation: 1 gradient_clip: 0.0 learning_rate: 0.0001 lora: true lora_alpha: 16 lora_dropout: 0.05 lora_r: 4 lora_target_modules: '' loss_function: TokenAveragedCrossEntropy optimizer: AdamW save_best_checkpoint: false schedule: Cosine train_validation_data: false warmup_epochs: 0.0 weight_decay: 0.0