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architecture:
backbone_dtype: int4
force_embedding_gradients: false
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: false
add_eos_token_to_prompt: false
add_eos_token_to_system: false
answer_column: label
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: 1
parent_id_column: None
personalize: false
prompt_column:
- text
system_column: None
text_answer_separator: ''
text_prompt_start: ''
text_system_start: ''
train_dataframe: /home/llmstudio/mount/data/user/hatespeech_oversample2/hatespeech_oversample2/hatespeech_train_oversample.csv
validation_dataframe: /home/llmstudio/mount/data/user/hatespeech_oversample2/hatespeech_oversample2/hatespeech_test.csv
validation_size: 0.01
validation_strategy: custom
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: HS-Rinna_Epoch2
llm_backbone: rinna/japanese-gpt-neox-3.6b-instruction-ppo
logging:
logger: None
neptune_project: ''
output_directory: /home/llmstudio/mount/output/user/HS-Rinna_Epoch2/
prediction:
batch_size_inference: 0
metric: AUC
problem_type: text_causal_classification_modeling
tokenizer:
add_prompt_answer_tokens: false
max_length: 160
max_length_answer: 32
max_length_prompt: 160
padding_quantile: 1.0
use_fast: true
training:
batch_size: 16
differential_learning_rate: 1.0e-05
differential_learning_rate_layers:
- classification_head
drop_last_batch: true
epochs: 2
evaluate_before_training: false
evaluation_epochs: 1.0
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: ''
loss_function: BinaryCrossEntropyLoss
optimizer: AdamW
save_best_checkpoint: false
schedule: Cosine
train_validation_data: false
use_flash_attention_2: false
warmup_epochs: 0.0
weight_decay: 0.0
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