metadata
license: apache-2.0
datasets:
- SubMaroon/DTF_Comments_Responses_Counts
language:
- ru
base_model:
- unsloth/Qwen2.5-7B
pipeline_tag: text-generation
A continued pretrained version of unsloth/Qwen2.5-7B model using unsloth's low rank adaptation on a dataset of DTF posts. The adapter is already merged with the model.
For pretraining, posts from SubMaroon/DTF_comments_Responses_Counts were selected, deduplicated by simple df.unique and filtered by length of 1000 < x < 128000 tokens.
LoRA hyperparameters:
r=32
target_modules=[
"q_proj",
"k_proj",
"v_proj",
"o_proj",
"gate_proj",
"up_proj",
"down_proj",
]
lora_alpha=16
lora_dropout=0
bias="none"
use_gradient_checkpointing='unsloth'
use_rslora=True
random_state=42
Training hyperparameters:
num_train_epochs=2
train_batch_size=8
gradient_accumulation_steps=16
gradient_checkpointing=False
optim="adamw_8bit"
weight_decay=4e-2
bf16=True
learning_rate=5e-5
lr_scheduler_type="cosine"
packing=True,
seed=42
Training time:
- NVidia Tesla A100 80GB: ~8.5 hours
- NVidia RTX 3090ti: ~33.5 hours