Update metadata with huggingface_hub

README.md

@@ -196,6 +196,104 @@ Training Procedure:
   Training processing: 'dataset = dataset.shuffle(seed=55)
 
     dataset = dataset[''train''].train_test_split(test_size=0.1)'
+training_regime:
+  output_dir: ./Zeroshot/01-12-23-NousResearch-Nous-Hermes-Llama2-13b_multilang-dataset-3.0.3-portuguese-2_epochs-10_batch_2/checkpoints/
+  overwrite_output_dir: false
+  do_train: false
+  do_eval: true
+  do_predict: false
+  evaluation_strategy: epoch
+  prediction_loss_only: false
+  per_device_train_batch_size: 2
+  per_device_eval_batch_size: 8
+  gradient_accumulation_steps: 2
+  eval_accumulation_steps: 1
+  eval_delay: 0
+  learning_rate: 0.0004
+  weight_decay: 0.01
+  adam_beta1: 0.9
+  adam_beta2: 0.999
+  adam_epsilon: 1.0e-08
+  max_grad_norm: 0.3
+  num_train_epochs: 10
+  max_steps: -1
+  lr_scheduler_type: cosine
+  warmup_ratio: 0.1
+  warmup_steps: 0
+  log_level: passive
+  log_level_replica: warning
+  log_on_each_node: true
+  logging_dir: ./Zeroshot/01-12-23-NousResearch-Nous-Hermes-Llama2-13b_multilang-dataset-3.0.3-portuguese-2_epochs-10_batch_2/checkpoints/runs/Dec01_21-53-07_fd10189bb234
+  logging_strategy: steps
+  logging_first_step: false
+  logging_steps: 500
+  logging_nan_inf_filter: true
+  save_strategy: epoch
+  save_steps: 500
+  save_total_limit: 5
+  save_safetensors: true
+  save_on_each_node: false
+  no_cuda: false
+  use_mps_device: false
+  seed: 42
+  jit_mode_eval: false
+  use_ipex: false
+  bf16: false
+  fp16: true
+  fp16_opt_level: O1
+  half_precision_backend: auto
+  bf16_full_eval: false
+  fp16_full_eval: false
+  local_rank: 0
+  tpu_metrics_debug: false
+  debug: []
+  dataloader_drop_last: false
+  dataloader_num_workers: 0
+  past_index: -1
+  run_name: ./Zeroshot/01-12-23-NousResearch-Nous-Hermes-Llama2-13b_multilang-dataset-3.0.3-portuguese-2_epochs-10_batch_2/checkpoints/
+  disable_tqdm: false
+  remove_unused_columns: true
+  load_best_model_at_end: true
+  metric_for_best_model: eval_loss
+  greater_is_better: false
+  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
+  label_smoothing_factor: 0.0
+  optim: adamw_torch
+  adafactor: false
+  group_by_length: false
+  length_column_name: length
+  report_to:
+  - tensorboard
+  dataloader_pin_memory: true
+  skip_memory_metrics: true
+  use_legacy_prediction_loop: false
+  push_to_hub: true
+  hub_model_id: Weni/ZeroShot-2.2.1-Llama2-13b-Multilanguage-3.0.3
+  hub_strategy: all_checkpoints
+  hub_token: <HUB_TOKEN>
+  hub_private_repo: false
+  gradient_checkpointing: true
+  include_inputs_for_metrics: false
+  fp16_backend: auto
+  push_to_hub_token: <PUSH_TO_HUB_TOKEN>
+  mp_parameters: ''
+  auto_find_batch_size: false
+  full_determinism: false
+  ray_scope: last
+  ddp_timeout: 1800
+  torch_compile: false
+training_data:
+  name: Weni/zeroshot-3.0.3
+'preprocessing ': 'dataset = dataset.shuffle(seed=55)
+
+  dataset = dataset[''train''].train_test_split(test_size=0.1)'
 ---
 ## Training procedure