Training procedure

The following bitsandbytes quantization config was used during training:

Framework versions

Args

output_dir=./finetune_weights/lora_model_weights_epochs_1_batch_size_4_gradient_steps_4_lr_0.001_warmup_100/results, overwrite_output_dir=True, do_train=False, do_eval=False, do_predict=False, evaluation_strategy=no, prediction_loss_only=False, per_device_train_batch_size=4, per_device_eval_batch_size=8, per_gpu_train_batch_size=None, per_gpu_eval_batch_size=None, gradient_accumulation_steps=4, eval_accumulation_steps=None, eval_delay=0, learning_rate=0.001, weight_decay=0.0, adam_beta1=0.9, adam_beta2=0.999, adam_epsilon=1e-08, max_grad_norm=1.0, num_train_epochs=1, max_steps=-1, lr_scheduler_type=linear, warmup_ratio=0.0, warmup_steps=100, log_level=passive, log_level_replica=warning, log_on_each_node=True, logging_dir=./finetune_weights/lora_model_weights_epochs_1_batch_size_4_gradient_steps_4_lr_0.001_warmup_100/logs, logging_strategy=steps, logging_first_step=False, logging_steps=100, logging_nan_inf_filter=True, save_strategy=steps, save_steps=10000, save_total_limit=6, save_safetensors=False, save_on_each_node=False, no_cuda=False, use_mps_device=False, seed=42, data_seed=None, jit_mode_eval=False, use_ipex=False, bf16=False, fp16=False, fp16_opt_level=O1, half_precision_backend=auto, bf16_full_eval=False, fp16_full_eval=False, tf32=None, local_rank=0, ddp_backend=None, tpu_num_cores=None, tpu_metrics_debug=False, debug=[], dataloader_drop_last=False, eval_steps=None, dataloader_num_workers=0, past_index=-1, run_name=./finetune_weights/lora_model_weights_epochs_1_batch_size_4_gradient_steps_4_lr_0.001_warmup_100/results, disable_tqdm=False, remove_unused_columns=True, label_names=None, load_best_model_at_end=False, metric_for_best_model=None, greater_is_better=None, ignore_data_skip=False, sharded_ddp=[], fsdp=[], fsdp_min_num_params=0, fsdp_config={'fsdp_min_num_params': 0, 'xla': False, 'xla_fsdp_grad_ckpt': False}, fsdp_transformer_layer_cls_to_wrap=None, deepspeed=None, label_smoothing_factor=0.0, optim=adamw_hf, optim_args=None, adafactor=False, group_by_length=False, length_column_name=length, report_to=['tensorboard'], ddp_find_unused_parameters=None, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, dataloader_pin_memory=True, skip_memory_metrics=True, use_legacy_prediction_loop=False, push_to_hub=False, resume_from_checkpoint=None, hub_model_id=None, hub_strategy=every_save, hub_token=None, hub_private_repo=False, gradient_checkpointing=False, include_inputs_for_metrics=False, fp16_backend=auto, push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=None, mp_parameters=, auto_find_batch_size=False, full_determinism=False, torchdynamo=None, ray_scope=last, ddp_timeout=1800, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, xpu_backend=None, distributed_state=Distributed environment: NO Num processes: 1 Process index: 0 Local process index: 0 Device: cuda , _n_gpu=1, __cached__setup_devices=cuda:0, deepspeed_plugin=None,