distil-mistral-1.5B-v0.1 / config_dummy.yaml
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# Model arguments
model_name_or_path: sanchit-gandhi/tiny-random-MistralForCausalLM-1-layer
teacher_model_name_or_path: sanchit-gandhi/tiny-random-MistralForCausalLM-1-layer
dtype: bfloat16
load_teacher_in_4bit: true
# Data arguments
train_dataset_name: HuggingFaceTB/cosmopedia-100k
train_dataset_config_name: default
train_split_name: train[:100]
eval_split_name: train[-10:]
num_train_epochs: 2
# Training arguments
do_train: true
do_eval: true
per_device_eval_batch_size: 4
per_device_train_batch_size: 4
learning_rate: 0.0003
warmup_steps: 10
gradient_checkpointing: true
dataloader_num_workers: 2
preprocessing_num_workers: 2
save_strategy: epoch
evaluation_strategy: epoch
logging_steps: 25
overwrite_output_dir: true
output_router_logits: true
report_to: wandb
output_dir: ./