| 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 |
|
|
