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architecture:
backbone_dtype: bfloat16
gradient_checkpointing: true
intermediate_dropout: 0.0
pretrained: true
pretrained_weights: /home/mtsmash/Schreibtisch/h2o-llmstudio-eva-gpt/output/user/EvaGPT-German-2B-Q10/checkpoint.pth
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: MaTeLiX AI
chatbot_name: h2oGPT
data_sample: 1.0
data_sample_choice:
- Train
- Validation
id_column: id
limit_chained_samples: true
mask_prompt_labels: true
mask_prompt_user_text_only: false
only_last_answer: false
parent_id_column: parent_id
personalize: false
prompt_column:
- Kontext
- Benutzer
prompt_column_separator: \n\n
system_column: system
text_answer_separator: <|Assistentin|>
text_prompt_start: <|Benutzer|>
text_system_start: <|System|>
train_dataframe: /home/mtsmash/Schreibtisch/h2o-llmstudio-eva-gpt/data/user/04-07-2026-11/04-07-2026-11.csv
train_text_column: false
validation_dataframe: /home/mtsmash/Schreibtisch/h2o-llmstudio-eva-gpt/data/user/04-07-2026-11/04-07-2026-11.csv
validation_size: 0.1
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'
- '1'
- '2'
- '3'
huggingface_branch: main
mixed_precision: false
mixed_precision_dtype: bfloat16
number_of_workers: 8
seed: -1
trust_remote_code: false
use_deepspeed: true
experiment_name: EvaGPT-German-2B-Q11.1
llm_backbone: /home/mtsmash/Schreibtisch/h2o-llmstudio-eva-gpt/output/user/EvaGPT-German-2B-Q10/
logging:
log_all_ranks: false
log_step_size: absolute
logger: None
neptune_project: ''
wandb_entity: ''
wandb_project: ''
output_directory: /home/mtsmash/Schreibtisch/h2o-llmstudio-eva-gpt/output/user/EvaGPT-German-2B-Q11.1/
prediction:
batch_size_inference: 0
do_sample: false
max_length_inference: 2336
max_time: 0.0
metric: Perplexity
metric_gpt_model: gpt-3.5-turbo-0301
metric_gpt_template: general
min_length_inference: 2
num_beams: 1
num_history: 4
repetition_penalty: 1.1
stop_tokens: ''
temperature: 0.0
top_k: 40
top_p: 0.9
problem_type: text_causal_language_modeling
tokenizer:
add_prompt_answer_tokens: true
long_sample_strategy: Sliding Window
max_length: 2528
padding_quantile: 1.0
sliding_window_overlap: 256
tokenizer_kwargs: '{"use_fast": true, "add_prefix_space": false}'
training:
attention_implementation: sdpa
batch_size: 4
differential_learning_rate: 1.0e-05
differential_learning_rate_layers: []
drop_last_batch: true
epochs: 3
evaluate_before_training: false
evaluation_epochs: 1.0
freeze_layers: []
grad_accumulation: 8
gradient_clip: 1.0
learning_rate: 0.0002
lora: false
lora_alpha: 24
lora_dropout: 0.05
lora_r: 16
lora_target_modules: q_proj,k_proj,v_proj,o_proj,gate_proj,up_proj,down_proj
lora_unfreeze_layers: []
loss_function: StableTokenCrossEntropy
min_learning_rate_ratio: 0.0
optimizer: AdamW
save_checkpoint: last
schedule: LossAwareCosine
train_validation_data: true
use_dora: false
use_rslora: false
warmup_epochs: 0.0
weight_decay: 0.01