Update metadata with huggingface_hub

README.md

@@ -1,4 +1,5 @@
 ---
+language: pt
 library_name: peft
 pipeline_tag: zero-shot-classification
 training_arguments:
@@ -96,6 +97,105 @@ training_arguments:
   torch_compile: false
 datatset:
   name: Weni/zeroshot-3.0.3
+Training Procedure:
+  Training Hyperparameters:
+    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
+  Training processing: 'dataset = dataset.shuffle(seed=55)
+
+    dataset = dataset[''train''].train_test_split(test_size=0.1)'
 ---
 ## Training procedure