Training hyperparameters
#3
by
chenuneris
- opened
Hey friend,
Amazing work, thanks very much for sharing it.
Could you also share the training parameters like Learning rate, optimizer, etc...?
Thanks! Here you go:
lora_r: 256
lora_alpha: 128
lora_dropout: 0.05
lora_target_linear: true
gradient_accumulation_steps: 2
micro_batch_size: 1
num_epochs: 3
optimizer: paged_adamw_32bit
lr_scheduler: cosine
learning_rate: 0.0002
train_on_inputs: false
group_by_length: false
bf16: true
fp16: false
tf32: false
gradient_checkpointing: true
logging_steps: 10
xformers_attention: false
flash_attention: true
warmup_steps: 10
eval_steps: 500
weight_decay: 0.0
chenuneris
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