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MistralForCausalLM finetuning_task: desc: null value: null id2label: desc: null value: '0': LABEL_0 '1': LABEL_1 label2id: desc: null value: LABEL_0: 0 LABEL_1: 1 tokenizer_class: desc: null value: null prefix: desc: null value: null bos_token_id: desc: null value: 1 pad_token_id: desc: null value: null eos_token_id: desc: null value: 2 sep_token_id: desc: null value: null decoder_start_token_id: desc: null value: null task_specific_params: desc: null value: null problem_type: desc: null value: null _name_or_path: desc: null value: sanchit-gandhi/Mistral-7B-v0.1-6-layer transformers_version: desc: null value: 4.36.2 model_type: desc: null value: mistral output_dir: desc: null value: ./ overwrite_output_dir: desc: null value: true do_train: desc: null value: false do_eval: desc: null value: true do_predict: desc: null value: false evaluation_strategy: desc: null value: epoch prediction_loss_only: desc: null value: false per_device_train_batch_size: desc: null value: 16 per_device_eval_batch_size: desc: null value: 8 per_gpu_train_batch_size: desc: null value: null per_gpu_eval_batch_size: desc: null value: null gradient_accumulation_steps: desc: null value: 1 eval_accumulation_steps: desc: null value: null eval_delay: desc: null value: 0 learning_rate: desc: null value: 2.0e-05 weight_decay: desc: null value: 0.0 adam_beta1: desc: null value: 0.9 adam_beta2: desc: null value: 0.999 adam_epsilon: desc: null value: 1.0e-08 max_grad_norm: desc: null value: 1.0 num_train_epochs: desc: null value: 1 max_steps: desc: null value: -1 lr_scheduler_type: desc: null value: cosine lr_scheduler_kwargs: desc: null value: {} warmup_ratio: desc: null value: 0.1 warmup_steps: desc: null value: 0 log_level: desc: null value: info log_level_replica: desc: null value: warning log_on_each_node: desc: null value: true logging_dir: desc: null value: ./runs/Feb01_17-38-02_ip-26-0-165-24 logging_strategy: desc: null value: steps logging_first_step: desc: null value: true logging_steps: desc: null value: 5 logging_nan_inf_filter: desc: null value: true save_strategy: desc: null value: steps save_steps: desc: null value: 100 save_total_limit: desc: null value: 1 save_safetensors: desc: null value: true save_on_each_node: desc: null value: false save_only_model: desc: null value: false no_cuda: desc: null value: false use_cpu: desc: null value: false use_mps_device: desc: null value: false seed: desc: null value: 42 data_seed: desc: null value: null jit_mode_eval: desc: null value: false use_ipex: desc: null value: false bf16: desc: null value: true fp16: desc: null value: false fp16_opt_level: desc: null value: O1 half_precision_backend: desc: null value: auto bf16_full_eval: desc: null value: false fp16_full_eval: desc: null value: false tf32: desc: null value: null local_rank: desc: null value: 0 ddp_backend: desc: null value: null tpu_num_cores: desc: null value: null tpu_metrics_debug: desc: null value: false debug: desc: null value: [] dataloader_drop_last: desc: null value: false eval_steps: desc: null value: null dataloader_num_workers: desc: null value: 0 past_index: desc: null value: -1 run_name: desc: null value: ./ disable_tqdm: desc: null value: false remove_unused_columns: desc: null value: true label_names: desc: null value: null load_best_model_at_end: desc: null value: false metric_for_best_model: desc: null value: null greater_is_better: desc: null value: null ignore_data_skip: desc: null value: false fsdp: desc: null value: [] fsdp_min_num_params: desc: null value: 0 fsdp_config: desc: null value: min_num_params: 0 xla: false xla_fsdp_grad_ckpt: false fsdp_transformer_layer_cls_to_wrap: desc: null value: null deepspeed: desc: null value: null label_smoothing_factor: desc: null value: 0.0 optim: desc: null value: adamw_torch optim_args: desc: null value: null adafactor: desc: null value: false group_by_length: desc: null value: false length_column_name: desc: null value: length report_to: desc: null value: - 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