Update metadata with huggingface_hub

README.md

@@ -197,99 +197,41 @@ 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_regime: "### 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/\n\
+  - overwrite_output_dir: False\n- do_train: False\n- do_eval: True\n- do_predict:\
+  \ False\n- evaluation_strategy: epoch\n- prediction_loss_only: False\n- per_device_train_batch_size:\
+  \ 2\n- per_device_eval_batch_size: 8\n- per_gpu_train_batch_size: None\n- per_gpu_eval_batch_size:\
+  \ None\n- gradient_accumulation_steps: 2\n- eval_accumulation_steps: 1\n- eval_delay:\
+  \ 0\n- learning_rate: 0.0004\n- weight_decay: 0.01\n- adam_beta1: 0.9\n- adam_beta2:\
+  \ 0.999\n- adam_epsilon: 1e-08\n- max_grad_norm: 0.3\n- num_train_epochs: 10\n-\
+  \ max_steps: -1\n- lr_scheduler_type: cosine\n- warmup_ratio: 0.1\n- warmup_steps:\
+  \ 0\n- log_level: passive\n- log_level_replica: warning\n- log_on_each_node: True\n\
+  - 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\n\
+  - logging_strategy: steps\n- logging_first_step: False\n- logging_steps: 500\n-\
+  \ logging_nan_inf_filter: True\n- save_strategy: epoch\n- save_steps: 500\n- save_total_limit:\
+  \ 5\n- save_safetensors: True\n- save_on_each_node: False\n- no_cuda: False\n- use_mps_device:\
+  \ False\n- seed: 42\n- data_seed: None\n- jit_mode_eval: False\n- use_ipex: False\n\
+  - bf16: False\n- fp16: True\n- fp16_opt_level: O1\n- half_precision_backend: auto\n\
+  - bf16_full_eval: False\n- fp16_full_eval: False\n- tf32: None\n- local_rank: 0\n\
+  - ddp_backend: None\n- tpu_num_cores: None\n- tpu_metrics_debug: False\n- debug:\
+  \ []\n- dataloader_drop_last: False\n- eval_steps: None\n- dataloader_num_workers:\
+  \ 0\n- past_index: -1\n- run_name: ./Zeroshot/01-12-23-NousResearch-Nous-Hermes-Llama2-13b_multilang-dataset-3.0.3-portuguese-2_epochs-10_batch_2/checkpoints/\n\
+  - disable_tqdm: False\n- remove_unused_columns: True\n- label_names: None\n- load_best_model_at_end:\
+  \ True\n- metric_for_best_model: eval_loss\n- greater_is_better: False\n- ignore_data_skip:\
+  \ False\n- sharded_ddp: []\n- fsdp: []\n- fsdp_min_num_params: 0\n- fsdp_config:\
+  \ {'fsdp_min_num_params': 0, 'xla': False, 'xla_fsdp_grad_ckpt': False}\n- fsdp_transformer_layer_cls_to_wrap:\
+  \ None\n- deepspeed: None\n- label_smoothing_factor: 0.0\n- optim: adamw_torch\n\
+  - optim_args: None\n- adafactor: False\n- group_by_length: False\n- length_column_name:\
+  \ length\n- report_to: ['tensorboard']\n- ddp_find_unused_parameters: None\n- ddp_bucket_cap_mb:\
+  \ None\n- ddp_broadcast_buffers: None\n- dataloader_pin_memory: True\n- skip_memory_metrics:\
+  \ True\n- use_legacy_prediction_loop: False\n- push_to_hub: True\n- resume_from_checkpoint:\
+  \ None\n- hub_model_id: Weni/ZeroShot-2.2.1-Llama2-13b-Multilanguage-3.0.3\n- hub_strategy:\
+  \ all_checkpoints\n- hub_token: <HUB_TOKEN>\n- hub_private_repo: False\n- gradient_checkpointing:\
+  \ True\n- include_inputs_for_metrics: False\n- fp16_backend: auto\n- push_to_hub_model_id:\
+  \ None\n- push_to_hub_organization: None\n- push_to_hub_token: <PUSH_TO_HUB_TOKEN>\n\
+  - mp_parameters: \n- auto_find_batch_size: False\n- full_determinism: False\n- torchdynamo:\
+  \ None\n- ray_scope: last\n- ddp_timeout: 1800\n- torch_compile: False\n- torch_compile_backend:\
+  \ None\n- torch_compile_mode: None\n- xpu_backend: None"
 training_data:
   name: Weni/zeroshot-3.0.3
 'preprocessing ': 'dataset = dataset.shuffle(seed=55)