Adding Google's gemma Model (#1312)

examples/gemma/qlora.yml

@@ -0,0 +1,65 @@
+# use google/gemma-7b if you have access
+base_model: mhenrichsen/gemma-7b 
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+ 
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+ 
+# huggingface repo
+datasets:
+  - path: mhenrichsen/alpaca_2k_test
+    type: alpaca
+val_set_size: 0.1
+output_dir: ./out
+ 
+adapter: qlora
+lora_r: 32
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_linear: true
+ 
+sequence_len: 4096
+sample_packing: false
+pad_to_sequence_len: false
+ 
+wandb_project:
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+ 
+ 
+gradient_accumulation_steps: 3
+micro_batch_size: 2
+num_epochs: 4
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.0002
+ 
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+ 
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+ 
+warmup_ratio: 0.1
+evals_per_epoch: 4
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens: