base_model: athirdpath/BigMistral-13b
model_type: MistralForCausalLM
tokenizer_type: LlamaTokenizer
is_mistral_derived_model: true
load_in_4bit: true
datasets:
- path: glueLORA2.jsonl
- type: alpaca
val_set_size: 0.07
adapter: qlora
sequence_len: 4096
sample_packing: true
pad_to_sequence_len: true
lora_r: 512
lora_alpha: 32
lora_dropout: 0.04
lora_target_linear: true
gradient_accumulation_steps: 6
micro_batch_size: 3
eval_batch_size: 3
num_epochs: 4
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.00005
bf16: true
gradient_checkpointing: true
flash_attention: true
warmup_steps: 10
weight_decay: 0.00001
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athirdpath/BigMistral-13b