Upload cfg.yaml

cfg.yaml

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+architecture:
+    backbone_dtype: float16
+    force_embedding_gradients: false
+    gradient_checkpointing: true
+    intermediate_dropout: 0.0
+    pretrained: true
+    pretrained_weights: ''
+augmentation:
+    random_parent_probability: 0.1
+    skip_parent_probability: 0.1
+    token_mask_probability: 0.0
+dataset:
+    add_eos_token_to_answer: true
+    add_eos_token_to_prompt: true
+    answer_column: output
+    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: parent_id
+    personalize: true
+    prompt_column:
+    - instruction
+    text_answer_separator: <|answer|>
+    text_prompt_start: <|prompt|>
+    train_dataframe: data/user/oasst/train_full_allrank.pq
+    validation_dataframe: data/user/oasst/gpt4_val_v0.csv
+    validation_size: 0.01
+    validation_strategy: custom
+environment:
+    compile_model: false
+    find_unused_parameters: false
+    gpus:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    huggingface_branch: refs/pr/8
+    mixed_precision: true
+    number_of_workers: 8
+    seed: -1
+    trust_remote_code: true
+    use_fsdp: false
+experiment_name: h2ogpt-gm-oasst1-en-xgen-7b-8k
+llm_backbone: Salesforce/xgen-7b-8k-base
+logging:
+    logger: Neptune
+    neptune_project: Zoo/h2o-llm
+    number_of_texts: 10
+output_directory: output/user/h2ogpt-gm-oasst1-en-xgen-7b-8k/
+prediction:
+    batch_size_inference: 0
+    do_sample: false
+    max_length_inference: 1024
+    metric: GPT
+    metric_gpt_model: gpt-3.5-turbo-0301
+    min_length_inference: 2
+    num_beams: 1
+    num_history: 2
+    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: 6144
+    max_length_answer: 4096
+    max_length_prompt: 6144
+    padding_quantile: 1.0
+    use_fast: true
+training:
+    adaptive_kl_control: true
+    advantages_gamma: 0.99
+    advantages_lambda: 0.95
+    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: 0.5
+    grad_accumulation: 1
+    gradient_clip: 0.0
+    initial_kl_coefficient: 0.2
+    kl_horizon: 10000
+    kl_target: 6.0
+    learning_rate: 0.0001
+    lora: true
+    lora_alpha: 32
+    lora_dropout: 0.1
+    lora_r: 16
+    lora_target_modules: q_proj,k_proj,v_proj,o_proj,gate_proj,down_proj,up_proj
+    loss_function: TokenAveragedCrossEntropy
+    offload_reward_model: false
+    optimizer: AdamW
+    ppo_batch_size: 1
+    ppo_clip_policy: 0.2
+    ppo_clip_value: 0.2
+    ppo_epochs: 4
+    ppo_generate_temperature: 1.0
+    reward_model: OpenAssistant/reward-model-deberta-v3-large-v2
+    save_best_checkpoint: false
+    scaling_factor_value_loss: 0.1
+    schedule: Cosine
+    train_validation_data: false
+    use_rlhf: false
+    warmup_epochs: 0.0
+    weight_decay: 0.0