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samvelkoch
/
spacy-mamba

Text Generation
Transformers
Safetensors
English
llama
gpt
llm
large language model
h2o-llmstudio
text-generation-inference
Model card Files
xet
Community
samvelkoch commited on
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Upload cfg.yaml

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  1. cfg.yaml +227 -0
cfg.yaml ADDED
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+ architecture:
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+ backbone_dtype: float32
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+ gradient_checkpointing: true
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+ intermediate_dropout: 0.0
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+ pretrained: true
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+ pretrained_weights: ''
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+ augmentation:
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+ neftune_noise_alpha: 0.0
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+ random_parent_probability: 0.0
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+ skip_parent_probability: 0.0
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+ token_mask_probability: 0.1
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+ dataset:
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+ add_eos_token_to_answer: false
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+ add_eos_token_to_prompt: false
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+ add_eos_token_to_system: false
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+ add_prompt_answer_tokens: false
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+ answer_column: score
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+ chatbot_author: H2O.ai
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+ chatbot_name: h2oGPT
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+ data_sample: 1.0
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+ data_sample_choice:
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+ - Train
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+ - Validation
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+ limit_chained_samples: false
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+ mask_prompt_labels: true
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+ num_classes: 6
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+ parent_id_column: None
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+ personalize: false
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+ prompt_column:
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+ - full_text
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+ - count_sentence
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+ - count_word
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+ - count_paragraph
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+ - count_symbol
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+ - count_punctuation
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+ - count_stop_words
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+ - count_ner
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+ - CARDINAL
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+ - DATE
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+ - EVENT
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+ - FAC
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+ - GPE
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+ - LANGUAGE
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+ - LAW
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+ - LOC
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+ - MONEY
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+ - NORP
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+ - ORDINAL
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+ - ORG
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+ - PERCENT
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+ - PERSON
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+ - PRODUCT
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+ - QUANTITY
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+ - TIME
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+ - WORK_OF_ART
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+ - mean_ner_sentence
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+ - len_ner
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+ - mean_ner
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+ - proc_ner_per_text
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+ - max_ner_per_sentence
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+ - independent_clauses
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+ - dependent_clauses
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+ - formality_level
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+ - simple_sentence_count
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+ - complex_sentence_count
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+ - has_intro
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+ - count_intro
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+ - has_repetitions
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+ - count_repetitions
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+ - coherence
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+ - -LRB-
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+ - -RRB-
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+ - ADD
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+ - AFX
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+ - CC
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+ - CD
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+ - DT
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+ - EX
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+ - FW
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+ - HYPH
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+ - IN
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+ - JJ
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+ - JJR
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+ - JJS
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+ - LS
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+ - MD
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+ - NFP
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+ - NN
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+ - NNP
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+ - NNPS
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+ - NNS
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+ - PDT
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+ - POS
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+ - PRP
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+ - PRP$
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+ - RB
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+ - RBR
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+ - RBS
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+ - RP
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+ - SYM
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+ - TO
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+ - UH
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+ - VB
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+ - VBD
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+ - VBG
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+ - VBN
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+ - VBP
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+ - VBZ
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+ - WDT
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+ - WP
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+ - WP$
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+ - WRB
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+ - XX
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+ - _SP
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+ - ROOT
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+ - acl
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+ - acomp
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+ - advcl
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+ - advmod
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+ - agent
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+ - amod
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+ - appos
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+ - attr
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+ - aux
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+ - auxpass
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+ - case
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+ - cc
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+ - ccomp
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+ - compound
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+ - conj
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+ - csubj
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+ - csubjpass
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+ - dative
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+ - dep
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+ - det
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+ - dobj
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+ - expl
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+ - intj
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+ - mark
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+ - meta
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+ - neg
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+ - nmod
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+ - npadvmod
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+ - nsubj
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+ - nsubjpass
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+ - nummod
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+ - oprd
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+ - parataxis
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+ - pcomp
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+ - pobj
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+ - poss
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+ - preconj
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+ - predet
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+ - prep
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+ - prt
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+ - punct
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+ - quantmod
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+ - relcl
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+ - xcomp
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+ system_column: None
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+ text_answer_separator: ''
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+ text_prompt_start: ''
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+ text_system_start: ''
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+ train_dataframe: /root/h2o-llmstudio/data/user/train_spacy_mamba/train_spacy_mamba.csv
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+ validation_dataframe: None
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+ validation_size: 0.01
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+ validation_strategy: automatic
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+ environment:
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+ compile_model: false
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+ deepspeed_allgather_bucket_size: 1000000
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+ deepspeed_method: ZeRO2
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+ deepspeed_reduce_bucket_size: 1000000
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+ deepspeed_stage3_param_persistence_threshold: 1000000
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+ deepspeed_stage3_prefetch_bucket_size: 1000000
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+ find_unused_parameters: false
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+ gpus:
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+ - '0'
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+ huggingface_branch: main
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+ mixed_precision: true
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+ mixed_precision_dtype: bfloat16
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+ number_of_workers: 8
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+ seed: -1
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+ trust_remote_code: true
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+ use_deepspeed: false
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+ experiment_name: spacy-mamba
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+ llm_backbone: h2oai/h2ogpt-4096-llama2-7b
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+ logging:
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+ logger: Neptune
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+ neptune_project: samvelkoch/essay
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+ output_directory: /root/h2o-llmstudio/output/user/spacy-mamba/
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+ prediction:
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+ batch_size_inference: 0
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+ metric: Accuracy
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+ problem_type: text_causal_classification_modeling
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+ tokenizer:
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+ add_prompt_answer_tokens: false
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+ max_length: 10240
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+ padding_quantile: 1.0
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+ tokenizer_kwargs: '{"use_fast": true, "add_prefix_space": false}'
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+ training:
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+ batch_size: 2
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+ differential_learning_rate: 1.0e-05
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+ differential_learning_rate_layers:
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+ - classification_head
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+ drop_last_batch: true
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+ epochs: 1
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+ evaluate_before_training: false
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+ evaluation_epochs: 1.0
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+ freeze_layers: []
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+ grad_accumulation: 1
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+ gradient_clip: 0.0
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+ learning_rate: 0.0001
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+ lora: true
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+ lora_alpha: 16
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+ lora_dropout: 0.05
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+ lora_r: 4
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+ lora_target_modules: ''
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+ lora_unfreeze_layers: []
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+ loss_function: CrossEntropyLoss
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+ optimizer: AdamW
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+ save_checkpoint: last
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+ schedule: Cosine
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+ train_validation_data: false
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+ use_dora: false
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+ use_flash_attention_2: true
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+ warmup_epochs: 0.0
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+ weight_decay: 0.0