Upload qlora.yml

qlora.yml

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+base_model: meta-llama/Llama-2-7b-chat-hf
+model_type: LlamaForCausalLM
+tokenizer_type: LlamaTokenizer
+# hub_model_id: llama2-generation
+
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+
+datasets:
+  - path: /home/yw23374/axolotl/examples/mistral/data/final_data/upsampled_train.json
+    ds_type: json
+    type: alpaca
+    split: train
+
+test_datasets:
+  - path: /home/yw23374/axolotl/examples/mistral/data/final_data/val.json
+    ds_type: json
+    type: alpaca
+    split: train
+
+load_best_model_at_end: False
+early_stopping_patience: 
+dataset_prepared_path: 
+val_set_size: 0
+output_dir: ./qlora-out-llama2-balance-3nd
+
+adapter: qlora
+lora_model_dir:
+
+sequence_len: 4096
+sample_packing: false
+pad_to_sequence_len: false
+
+lora_r: 32
+lora_alpha: 16
+lora_dropout: 0.15
+lora_target_linear: true
+lora_fan_in_fan_out:
+lora_target_modules:
+  - gate_proj
+  - down_proj
+  - up_proj
+  - q_proj
+  - v_proj
+  - k_proj
+  - o_proj
+
+wandb_project: fine-tune-sal
+wandb_entity:
+wandb_watch:
+wandb_run_id:
+wandb_log_model:
+
+gradient_accumulation_steps: 2
+micro_batch_size: 1
+num_epochs: 5 #3 before, 5 for balanced
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.0001
+
+train_on_inputs: false
+group_by_length: false
+bf16: true
+fp16: false
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience: 
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+wandb_project: fine-tune-sal
+wandb_entity:
+wandb_watch:
+wandb_run_id:
+wandb_log_model:
+
+warmup_steps: 10
+eval_steps: 0.05
+eval_table_size:
+eval_table_max_new_tokens: 128
+save_steps: 
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  bos_token: "<s>"
+  eos_token: "</s>"
+  unk_token: "<unk>"
+
+# tokens: # these are delimiters
+#   - "<|im_start|>"
+#   - "<|im_end|>"