| architecture: | |
| backbone_dtype: float32 | |
| force_embedding_gradients: true | |
| gradient_checkpointing: true | |
| intermediate_dropout: 0.0 | |
| pretrained: true | |
| pretrained_weights: '' | |
| 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: true | |
| add_eos_token_to_prompt: true | |
| add_eos_token_to_system: true | |
| answer_column: Assistentin | |
| chatbot_author: tmp-networks.de | |
| chatbot_name: EvaGPT-German | |
| 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: | |
| - Benutzer | |
| - Kontext | |
| system_column: system | |
| text_answer_separator: <|Assistentin|> | |
| text_prompt_start: <|Benutzer|> | |
| text_system_start: <|System|> | |
| train_dataframe: /media/mtsmash/gpt/h2o-llmstudio/data/user/dataset.13-sep/dataset.csv | |
| validation_dataframe: /media/mtsmash/gpt/h2o-llmstudio/data/user/dataset.13-sep/dataset.csv | |
| validation_size: 0.01 | |
| validation_strategy: automatic | |
| environment: | |
| compile_model: false | |
| 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' | |
| - '3' | |
| huggingface_branch: main | |
| mixed_precision: true | |
| number_of_workers: 96 | |
| seed: -1 | |
| trust_remote_code: true | |
| use_deepspeed: false | |
| experiment_name: EvaGPT-German-446M-Mini.v0.1.1 | |
| llm_backbone: /media/mtsmash/gpt/h2o-llmstudio/output/user/EvaGPT-German-446M-Mini.v0.1/ | |
| logging: | |
| logger: None | |
| neptune_project: '' | |
| output_directory: /media/mtsmash/gpt/h2o-llmstudio/output/user/EvaGPT-German-446M-Mini.v0.1.1/ | |
| prediction: | |
| batch_size_inference: 0 | |
| do_sample: true | |
| max_length_inference: 1312 | |
| metric: Perplexity | |
| metric_gpt_model: gpt-3.5-turbo-0301 | |
| metric_gpt_template: general | |
| min_length_inference: 2 | |
| num_beams: 3 | |
| num_history: 4 | |
| repetition_penalty: 1.1 | |
| stop_tokens: '' | |
| temperature: 0.7 | |
| top_k: 40 | |
| top_p: 1.0 | |
| problem_type: text_causal_language_modeling | |
| tokenizer: | |
| add_prefix_space: false | |
| add_prompt_answer_tokens: true | |
| max_length: 4096 | |
| max_length_answer: 3072 | |
| max_length_prompt: 1024 | |
| padding_quantile: 1.0 | |
| use_fast: true | |
| training: | |
| batch_size: 1 | |
| differential_learning_rate: 1.0e-05 | |
| differential_learning_rate_layers: [] | |
| drop_last_batch: true | |
| epochs: 4 | |
| evaluate_before_training: false | |
| evaluation_epochs: 1.0 | |
| grad_accumulation: 8 | |
| gradient_clip: 1.0 | |
| learning_rate: 0.0002 | |
| lora: true | |
| lora_alpha: 46 | |
| lora_dropout: 0.05 | |
| lora_r: 26 | |
| lora_target_modules: '' | |
| loss_function: TokenAveragedCrossEntropy | |
| optimizer: AdamW | |
| save_best_checkpoint: false | |
| schedule: Cosine | |
| train_validation_data: true | |
| use_flash_attention_2: false | |
| warmup_epochs: 0.0 | |
| weight_decay: 0.01 | |