wandb_version: 1

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_wandb:
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    framework: huggingface
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    is_jupyter_run: false
    is_kaggle_kernel: false
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    python_version: 3.8.8
    start_time: 1643565257
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adafactor:
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adam_beta1:
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adam_beta2:
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adam_epsilon:
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adapter_kernel_size:
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adapter_stride:
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add_adapter:
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add_cross_attention:
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apply_spec_augment:
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architectures:
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attention_dropout:
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bad_words_ids:
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bf16:
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bf16_full_eval:
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conv_bias:
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conv_dim:
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dataloader_pin_memory:
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ddp_bucket_cap_mb:
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ddp_find_unused_parameters:
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debug:
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  value: '[]'
decoder_start_token_id:
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deepspeed:
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disable_tqdm:
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diversity_loss_weight:
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diversity_penalty:
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do_eval:
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do_predict:
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do_sample:
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do_stable_layer_norm:
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do_train:
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early_stopping:
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encoder_no_repeat_ngram_size:
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eos_token_id:
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eval_accumulation_steps:
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eval_batch_size:
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eval_steps:
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evaluation_strategy:
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feat_extract_activation:
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feat_extract_dropout:
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feat_extract_norm:
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feat_quantizer_dropout:
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final_dropout:
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finetuning_task:
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forced_bos_token_id:
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forced_eos_token_id:
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fp16:
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fp16_backend:
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fp16_full_eval:
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fp16_opt_level:
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gradient_checkpointing:
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greater_is_better:
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group_by_length:
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half_precision_backend:
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hidden_act:
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  value: gelu
hidden_dropout:
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hidden_size:
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hub_model_id:
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hub_strategy:
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  value: every_save
hub_token:
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id2label:
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ignore_data_skip:
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intermediate_size:
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is_decoder:
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label2id:
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    LABEL_0: 0
    LABEL_1: 1
label_names:
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label_smoothing_factor:
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layer_norm_eps:
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layerdrop:
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learning_rate:
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length_column_name:
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length_penalty:
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load_best_model_at_end:
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local_rank:
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log_level:
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log_level_replica:
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log_on_each_node:
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logging_dir:
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logging_first_step:
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logging_nan_inf_filter:
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logging_steps:
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logging_strategy:
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lr_scheduler_type:
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mask_feature_length:
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mask_feature_min_masks:
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mask_feature_prob:
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mask_time_length:
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mask_time_min_masks:
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mask_time_prob:
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max_grad_norm:
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max_length:
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max_steps:
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metric_for_best_model:
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min_length:
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model_type:
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mp_parameters:
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no_cuda:
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no_repeat_ngram_size:
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num_adapter_layers:
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num_attention_heads:
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num_beams:
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num_codevectors_per_group:
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num_conv_pos_embedding_groups:
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num_conv_pos_embeddings:
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num_feat_extract_layers:
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num_negatives:
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num_return_sequences:
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optim:
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output_attentions:
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output_dir:
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output_hidden_size:
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output_hidden_states:
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output_scores:
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overwrite_output_dir:
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pad_token_id:
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past_index:
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per_device_eval_batch_size:
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per_device_train_batch_size:
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per_gpu_eval_batch_size:
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per_gpu_train_batch_size:
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prediction_loss_only:
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prefix:
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problem_type:
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proj_codevector_dim:
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pruned_heads:
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  value: {}
push_to_hub:
  desc: null
  value: true
push_to_hub_model_id:
  desc: null
  value: None
push_to_hub_organization:
  desc: null
  value: None
push_to_hub_token:
  desc: null
  value: <PUSH_TO_HUB_TOKEN>
remove_invalid_values:
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remove_unused_columns:
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repetition_penalty:
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report_to:
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  value: '[''wandb'']'
resume_from_checkpoint:
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  value: None
return_dict:
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  value: true
return_dict_in_generate:
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run_name:
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  value: xls-r-300m-fr
save_on_each_node:
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save_steps:
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save_strategy:
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seed:
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sep_token_id:
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sharded_ddp:
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skip_memory_metrics:
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task_specific_params:
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tdnn_dilation:
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tdnn_dim:
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tdnn_kernel:
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temperature:
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tf32:
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tie_encoder_decoder:
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tie_word_embeddings:
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tokenizer_class:
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top_k:
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top_p:
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torch_dtype:
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torchscript:
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tpu_metrics_debug:
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tpu_num_cores:
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train_batch_size:
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transformers_version:
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use_bfloat16:
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vocab_size:
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warmup_ratio:
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warmup_steps:
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weight_decay:
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xpu_backend:
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xvector_output_dim:
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