tweaks to data loading, 8 bit adam, accelerate and deepspeed

configs/llama_13B_alpaca.yml

@@ -0,0 +1,39 @@
+base_model: huggyllama/llama-13b
+model_type: LlamaForCausalLM
+tokenizer_type: LlamaTokenizer
+load_in_8bit: true
+datasets:
+  - path: anon8231489123/ShareGPT_Vicuna_unfiltered
+    data_files: ShareGPT_V3_unfiltered_cleaned_split_no_imsorry.json
+    type: sharegpt
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.002
+adapter:
+lora_model_dir:
+sequence_len: 2048
+lora_r: 8
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_modules:
+  - q_proj
+  - v_proj
+lora_fan_in_fan_out: false
+wandb_project:
+wandb_watch:
+wandb_run_id:
+wandb_log_model: checkpoint
+output_dir: ./llama-13b-sharegpt
+batch_size: 64
+micro_batch_size: 2
+warmup_steps: 1000
+save_steps:
+eval_steps:
+num_epochs: 5
+learning_rate: 0.00003
+train_on_inputs: false
+group_by_length: false
+bf16: true
+tf32: true
+early_stopping_patience: 5
+resume_from_checkpoint:
+local_rank: