| architecture: | |
| backbone_dtype: float32 | |
| 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: 0.1 | |
| dataset: | |
| add_eos_token_to_answer: false | |
| add_eos_token_to_prompt: false | |
| add_eos_token_to_system: false | |
| add_prompt_answer_tokens: false | |
| answer_column: score | |
| chatbot_author: H2O.ai | |
| chatbot_name: h2oGPT | |
| data_sample: 1.0 | |
| data_sample_choice: | |
| - Train | |
| - Validation | |
| limit_chained_samples: false | |
| mask_prompt_labels: true | |
| num_classes: 6 | |
| parent_id_column: None | |
| personalize: false | |
| prompt_column: | |
| - full_text | |
| - count_sentence | |
| - count_word | |
| - count_paragraph | |
| - count_symbol | |
| - count_punctuation | |
| - count_stop_words | |
| - count_ner | |
| - CARDINAL | |
| - DATE | |
| - EVENT | |
| - FAC | |
| - GPE | |
| - LANGUAGE | |
| - LAW | |
| - LOC | |
| - MONEY | |
| - NORP | |
| - ORDINAL | |
| - ORG | |
| - PERCENT | |
| - PERSON | |
| - PRODUCT | |
| - QUANTITY | |
| - TIME | |
| - WORK_OF_ART | |
| - mean_ner_sentence | |
| - len_ner | |
| - mean_ner | |
| - proc_ner_per_text | |
| - max_ner_per_sentence | |
| - independent_clauses | |
| - dependent_clauses | |
| - formality_level | |
| - simple_sentence_count | |
| - complex_sentence_count | |
| - has_intro | |
| - count_intro | |
| - has_repetitions | |
| - count_repetitions | |
| - coherence | |
| - -LRB- | |
| - -RRB- | |
| - ADD | |
| - AFX | |
| - CC | |
| - CD | |
| - DT | |
| - EX | |
| - FW | |
| - HYPH | |
| - IN | |
| - JJ | |
| - JJR | |
| - JJS | |
| - LS | |
| - MD | |
| - NFP | |
| - NN | |
| - NNP | |
| - NNPS | |
| - NNS | |
| - PDT | |
| - POS | |
| - PRP | |
| - PRP$ | |
| - RB | |
| - RBR | |
| - RBS | |
| - RP | |
| - SYM | |
| - TO | |
| - UH | |
| - VB | |
| - VBD | |
| - VBG | |
| - VBN | |
| - VBP | |
| - VBZ | |
| - WDT | |
| - WP | |
| - WP$ | |
| - WRB | |
| - XX | |
| - _SP | |
| - ROOT | |
| - acl | |
| - acomp | |
| - advcl | |
| - advmod | |
| - agent | |
| - amod | |
| - appos | |
| - attr | |
| - aux | |
| - auxpass | |
| - case | |
| - cc | |
| - ccomp | |
| - compound | |
| - conj | |
| - csubj | |
| - csubjpass | |
| - dative | |
| - dep | |
| - det | |
| - dobj | |
| - expl | |
| - intj | |
| - mark | |
| - meta | |
| - neg | |
| - nmod | |
| - npadvmod | |
| - nsubj | |
| - nsubjpass | |
| - nummod | |
| - oprd | |
| - parataxis | |
| - pcomp | |
| - pobj | |
| - poss | |
| - preconj | |
| - predet | |
| - prep | |
| - prt | |
| - punct | |
| - quantmod | |
| - relcl | |
| - xcomp | |
| system_column: None | |
| text_answer_separator: '' | |
| text_prompt_start: '' | |
| text_system_start: '' | |
| train_dataframe: /root/h2o-llmstudio/data/user/train_spacy_mamba/train_spacy_mamba.csv | |
| validation_dataframe: None | |
| validation_size: 0.01 | |
| validation_strategy: automatic | |
| 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' | |
| 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: spacy-mamba | |
| llm_backbone: h2oai/h2ogpt-4096-llama2-7b | |
| logging: | |
| logger: Neptune | |
| neptune_project: samvelkoch/essay | |
| output_directory: /root/h2o-llmstudio/output/user/spacy-mamba/ | |
| prediction: | |
| batch_size_inference: 0 | |
| metric: Accuracy | |
| problem_type: text_causal_classification_modeling | |
| tokenizer: | |
| add_prompt_answer_tokens: false | |
| max_length: 10240 | |
| padding_quantile: 1.0 | |
| tokenizer_kwargs: '{"use_fast": true, "add_prefix_space": false}' | |
| 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: 1.0 | |
| freeze_layers: [] | |
| 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: '' | |
| lora_unfreeze_layers: [] | |
| loss_function: CrossEntropyLoss | |
| optimizer: AdamW | |
| save_checkpoint: last | |
| schedule: Cosine | |
| train_validation_data: false | |
| use_dora: false | |
| use_flash_attention_2: true | |
| warmup_epochs: 0.0 | |
| weight_decay: 0.0 | |