diff --git "a/nohup.out" "b/nohup.out"
new file mode 100644--- /dev/null
+++ "b/nohup.out"
@@ -0,0 +1,585 @@
+01/31/2022 11:15:19 - WARNING - __main__ - Process rank: -1, device: cuda:0, n_gpu: 1distributed training: False, 16-bits training: True
+01/31/2022 11:15:19 - INFO - __main__ - Training/evaluation parameters TrainingArguments(
+_n_gpu=1,
+adafactor=False,
+adam_beta1=0.9,
+adam_beta2=0.999,
+adam_epsilon=1e-08,
+bf16=False,
+bf16_full_eval=False,
+dataloader_drop_last=False,
+dataloader_num_workers=0,
+dataloader_pin_memory=True,
+ddp_bucket_cap_mb=None,
+ddp_find_unused_parameters=None,
+debug=[],
+deepspeed=None,
+disable_tqdm=False,
+do_eval=True,
+do_predict=False,
+do_train=True,
+eval_accumulation_steps=None,
+eval_steps=500,
+evaluation_strategy=IntervalStrategy.STEPS,
+fp16=True,
+fp16_backend=auto,
+fp16_full_eval=False,
+fp16_opt_level=O1,
+gradient_accumulation_steps=4,
+gradient_checkpointing=True,
+greater_is_better=None,
+group_by_length=True,
+half_precision_backend=auto,
+hub_model_id=None,
+hub_strategy=HubStrategy.EVERY_SAVE,
+hub_token=<HUB_TOKEN>,
+ignore_data_skip=False,
+label_names=None,
+label_smoothing_factor=0.0,
+learning_rate=7.5e-05,
+length_column_name=input_length,
+load_best_model_at_end=False,
+local_rank=-1,
+log_level=-1,
+log_level_replica=-1,
+log_on_each_node=True,
+logging_dir=./runs/Jan31_11-15-19_job-aa543290-d6de-4d4d-8a32-2149b1b8e7e3,
+logging_first_step=False,
+logging_nan_inf_filter=True,
+logging_steps=100,
+logging_strategy=IntervalStrategy.STEPS,
+lr_scheduler_type=SchedulerType.LINEAR,
+max_grad_norm=1.0,
+max_steps=-1,
+metric_for_best_model=None,
+mp_parameters=,
+no_cuda=False,
+num_train_epochs=50.0,
+optim=OptimizerNames.ADAMW_HF,
+output_dir=./,
+overwrite_output_dir=True,
+past_index=-1,
+per_device_eval_batch_size=8,
+per_device_train_batch_size=8,
+prediction_loss_only=False,
+push_to_hub=True,
+push_to_hub_model_id=None,
+push_to_hub_organization=None,
+push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
+remove_unused_columns=True,
+report_to=[],
+resume_from_checkpoint=None,
+run_name=./,
+save_on_each_node=False,
+save_steps=500,
+save_strategy=IntervalStrategy.STEPS,
+save_total_limit=3,
+seed=42,
+sharded_ddp=[],
+skip_memory_metrics=True,
+tf32=None,
+tpu_metrics_debug=False,
+tpu_num_cores=None,
+use_legacy_prediction_loop=False,
+warmup_ratio=0.0,
+warmup_steps=2000,
+weight_decay=0.0,
+xpu_backend=None,
+)
+
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+Downloading and preparing dataset zeroth_korean_asr/clean to /workspace/.cache/huggingface/datasets/kresnik___zeroth_korean_asr/clean/1.0.1/f6cf96a53d5512525e3113bab8048d36ce268658d6e0c40d45f65dfa3f0bc343...
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0 examples [00:00, ? examples/s]
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0 examples [00:00, ? examples/s]
                                Dataset zeroth_korean_asr downloaded and prepared to /workspace/.cache/huggingface/datasets/kresnik___zeroth_korean_asr/clean/1.0.1/f6cf96a53d5512525e3113bab8048d36ce268658d6e0c40d45f65dfa3f0bc343. Subsequent calls will reuse this data.
+01/31/2022 11:19:02 - WARNING - datasets.builder - Reusing dataset zeroth_korean_asr (/workspace/.cache/huggingface/datasets/kresnik___zeroth_korean_asr/clean/1.0.1/f6cf96a53d5512525e3113bab8048d36ce268658d6e0c40d45f65dfa3f0bc343)
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+
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+https://huggingface.co/facebook/wav2vec2-xls-r-1b/resolve/main/config.json not found in cache or force_download set to True, downloading to /workspace/.cache/huggingface/transformers/tmpf6f8pfrp
+
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+storing https://huggingface.co/facebook/wav2vec2-xls-r-1b/resolve/main/config.json in cache at /workspace/.cache/huggingface/transformers/19f816c26d6fef49a4dfc0fc6b841c37792a250d2697d8432769f8af5698f1dc.90dd5f300087b6277c408283c36aefa2efb15afd0d3e210b3a7c3f3efc478d03
+creating metadata file for /workspace/.cache/huggingface/transformers/19f816c26d6fef49a4dfc0fc6b841c37792a250d2697d8432769f8af5698f1dc.90dd5f300087b6277c408283c36aefa2efb15afd0d3e210b3a7c3f3efc478d03
+loading configuration file https://huggingface.co/facebook/wav2vec2-xls-r-1b/resolve/main/config.json from cache at /workspace/.cache/huggingface/transformers/19f816c26d6fef49a4dfc0fc6b841c37792a250d2697d8432769f8af5698f1dc.90dd5f300087b6277c408283c36aefa2efb15afd0d3e210b3a7c3f3efc478d03
+Model config Wav2Vec2Config {
+  "_name_or_path": "facebook/wav2vec2-xls-r-1b",
+  "activation_dropout": 0.0,
+  "adapter_kernel_size": 3,
+  "adapter_stride": 2,
+  "add_adapter": false,
+  "apply_spec_augment": true,
+  "architectures": [
+    "Wav2Vec2ForPreTraining"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 1,
+  "classifier_proj_size": 256,
+  "codevector_dim": 1024,
+  "contrastive_logits_temperature": 0.1,
+  "conv_bias": true,
+  "conv_dim": [
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512
+  ],
+  "conv_kernel": [
+    10,
+    3,
+    3,
+    3,
+    3,
+    2,
+    2
+  ],
+  "conv_stride": [
+    5,
+    2,
+    2,
+    2,
+    2,
+    2,
+    2
+  ],
+  "ctc_loss_reduction": "sum",
+  "ctc_zero_infinity": false,
+  "diversity_loss_weight": 0.1,
+  "do_stable_layer_norm": true,
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
+  "feat_extract_dropout": 0.0,
+  "feat_extract_norm": "layer",
+  "feat_proj_dropout": 0.1,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.0,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.1,
+  "hidden_size": 1280,
+  "initializer_range": 0.02,
+  "intermediate_size": 5120,
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.1,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.075,
+  "model_type": "wav2vec2",
+  "num_adapter_layers": 3,
+  "num_attention_heads": 16,
+  "num_codevector_groups": 2,
+  "num_codevectors_per_group": 320,
+  "num_conv_pos_embedding_groups": 16,
+  "num_conv_pos_embeddings": 128,
+  "num_feat_extract_layers": 7,
+  "num_hidden_layers": 48,
+  "num_negatives": 100,
+  "output_hidden_size": 1280,
+  "pad_token_id": 0,
+  "proj_codevector_dim": 1024,
+  "tdnn_dilation": [
+    1,
+    2,
+    3,
+    1,
+    1
+  ],
+  "tdnn_dim": [
+    512,
+    512,
+    512,
+    512,
+    1500
+  ],
+  "tdnn_kernel": [
+    5,
+    3,
+    3,
+    1,
+    1
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.17.0.dev0",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 32,
+  "xvector_output_dim": 512
+}
+
+
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+Didn't find file ./tokenizer_config.json. We won't load it.
+Didn't find file ./added_tokens.json. We won't load it.
+Didn't find file ./special_tokens_map.json. We won't load it.
+Didn't find file ./tokenizer.json. We won't load it.
+loading file ./vocab.json
+loading file None
+loading file None
+loading file None
+loading file None
+file ./config.json not found
+Adding <s> to the vocabulary
+Adding </s> to the vocabulary
+Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
+loading configuration file https://huggingface.co/facebook/wav2vec2-xls-r-1b/resolve/main/config.json from cache at /workspace/.cache/huggingface/transformers/19f816c26d6fef49a4dfc0fc6b841c37792a250d2697d8432769f8af5698f1dc.90dd5f300087b6277c408283c36aefa2efb15afd0d3e210b3a7c3f3efc478d03
+Model config Wav2Vec2Config {
+  "_name_or_path": "facebook/wav2vec2-xls-r-1b",
+  "activation_dropout": 0.0,
+  "adapter_kernel_size": 3,
+  "adapter_stride": 2,
+  "add_adapter": false,
+  "apply_spec_augment": true,
+  "architectures": [
+    "Wav2Vec2ForPreTraining"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 1,
+  "classifier_proj_size": 256,
+  "codevector_dim": 1024,
+  "contrastive_logits_temperature": 0.1,
+  "conv_bias": true,
+  "conv_dim": [
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512
+  ],
+  "conv_kernel": [
+    10,
+    3,
+    3,
+    3,
+    3,
+    2,
+    2
+  ],
+  "conv_stride": [
+    5,
+    2,
+    2,
+    2,
+    2,
+    2,
+    2
+  ],
+  "ctc_loss_reduction": "sum",
+  "ctc_zero_infinity": false,
+  "diversity_loss_weight": 0.1,
+  "do_stable_layer_norm": true,
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
+  "feat_extract_dropout": 0.0,
+  "feat_extract_norm": "layer",
+  "feat_proj_dropout": 0.1,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.0,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.1,
+  "hidden_size": 1280,
+  "initializer_range": 0.02,
+  "intermediate_size": 5120,
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.1,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.075,
+  "model_type": "wav2vec2",
+  "num_adapter_layers": 3,
+  "num_attention_heads": 16,
+  "num_codevector_groups": 2,
+  "num_codevectors_per_group": 320,
+  "num_conv_pos_embedding_groups": 16,
+  "num_conv_pos_embeddings": 128,
+  "num_feat_extract_layers": 7,
+  "num_hidden_layers": 48,
+  "num_negatives": 100,
+  "output_hidden_size": 1280,
+  "pad_token_id": 0,
+  "proj_codevector_dim": 1024,
+  "tdnn_dilation": [
+    1,
+    2,
+    3,
+    1,
+    1
+  ],
+  "tdnn_dim": [
+    512,
+    512,
+    512,
+    512,
+    1500
+  ],
+  "tdnn_kernel": [
+    5,
+    3,
+    3,
+    1,
+    1
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.17.0.dev0",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 32,
+  "xvector_output_dim": 512
+}
+
+https://huggingface.co/facebook/wav2vec2-xls-r-1b/resolve/main/preprocessor_config.json not found in cache or force_download set to True, downloading to /workspace/.cache/huggingface/transformers/tmpjxesrf60
+
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+storing https://huggingface.co/facebook/wav2vec2-xls-r-1b/resolve/main/preprocessor_config.json in cache at /workspace/.cache/huggingface/transformers/a33f3a17d64af3dc7d6af9fe68e6fcbe153fd601b94de9e09ff27c6916beed02.d4484dc1c81456a2461485e7168b04347a7b9a4e3b1ef3aba723323b33e12326
+creating metadata file for /workspace/.cache/huggingface/transformers/a33f3a17d64af3dc7d6af9fe68e6fcbe153fd601b94de9e09ff27c6916beed02.d4484dc1c81456a2461485e7168b04347a7b9a4e3b1ef3aba723323b33e12326
+loading feature extractor configuration file https://huggingface.co/facebook/wav2vec2-xls-r-1b/resolve/main/preprocessor_config.json from cache at /workspace/.cache/huggingface/transformers/a33f3a17d64af3dc7d6af9fe68e6fcbe153fd601b94de9e09ff27c6916beed02.d4484dc1c81456a2461485e7168b04347a7b9a4e3b1ef3aba723323b33e12326
+Feature extractor Wav2Vec2FeatureExtractor {
+  "do_normalize": true,
+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0,
+  "return_attention_mask": true,
+  "sampling_rate": 16000
+}
+
+https://huggingface.co/facebook/wav2vec2-xls-r-1b/resolve/main/pytorch_model.bin not found in cache or force_download set to True, downloading to /workspace/.cache/huggingface/transformers/tmpoau_j6s8
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+storing https://huggingface.co/facebook/wav2vec2-xls-r-1b/resolve/main/pytorch_model.bin in cache at /workspace/.cache/huggingface/transformers/1b10cc2ca6452defe09996da7c9e2d4a9550e22295550c3659e8b1895c97921a.46e33ebecb25f07f270ccfa8896911dd7aeba6b646f8724d18117987926c98db
+creating metadata file for /workspace/.cache/huggingface/transformers/1b10cc2ca6452defe09996da7c9e2d4a9550e22295550c3659e8b1895c97921a.46e33ebecb25f07f270ccfa8896911dd7aeba6b646f8724d18117987926c98db
+loading weights file https://huggingface.co/facebook/wav2vec2-xls-r-1b/resolve/main/pytorch_model.bin from cache at /workspace/.cache/huggingface/transformers/1b10cc2ca6452defe09996da7c9e2d4a9550e22295550c3659e8b1895c97921a.46e33ebecb25f07f270ccfa8896911dd7aeba6b646f8724d18117987926c98db
+Some weights of the model checkpoint at facebook/wav2vec2-xls-r-1b were not used when initializing Wav2Vec2ForCTC: ['project_q.weight', 'project_hid.weight', 'quantizer.codevectors', 'project_q.bias', 'project_hid.bias', 'quantizer.weight_proj.weight', 'quantizer.weight_proj.bias']
+- This IS expected if you are initializing Wav2Vec2ForCTC from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
+- This IS NOT expected if you are initializing Wav2Vec2ForCTC from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
+Some weights of Wav2Vec2ForCTC were not initialized from the model checkpoint at facebook/wav2vec2-xls-r-1b and are newly initialized: ['lm_head.bias', 'lm_head.weight']
+You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
+
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Downloading: 4.48kB [00:00, 2.31MB/s]                   
+Configuration saved in ./preprocessor_config.json
+tokenizer config file saved in ./tokenizer_config.json
+Special tokens file saved in ./special_tokens_map.json
+added tokens file saved in ./added_tokens.json
+Configuration saved in ./config.json
+loading feature extractor configuration file ./preprocessor_config.json
+loading configuration file ./config.json
+Model config Wav2Vec2Config {
+  "_name_or_path": "./",
+  "activation_dropout": 0.1,
+  "adapter_kernel_size": 3,
+  "adapter_stride": 2,
+  "add_adapter": false,
+  "apply_spec_augment": true,
+  "architectures": [
+    "Wav2Vec2ForPreTraining"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "classifier_proj_size": 256,
+  "codevector_dim": 1024,
+  "contrastive_logits_temperature": 0.1,
+  "conv_bias": true,
+  "conv_dim": [
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512
+  ],
+  "conv_kernel": [
+    10,
+    3,
+    3,
+    3,
+    3,
+    2,
+    2
+  ],
+  "conv_stride": [
+    5,
+    2,
+    2,
+    2,
+    2,
+    2,
+    2
+  ],
+  "ctc_loss_reduction": "mean",
+  "ctc_zero_infinity": false,
+  "diversity_loss_weight": 0.1,
+  "do_stable_layer_norm": true,
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
+  "feat_extract_dropout": 0.0,
+  "feat_extract_norm": "layer",
+  "feat_proj_dropout": 0.0,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.0,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.0,
+  "hidden_size": 1280,
+  "initializer_range": 0.02,
+  "intermediate_size": 5120,
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.0,
+  "mask_feature_length": 64,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.25,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.75,
+  "model_type": "wav2vec2",
+  "num_adapter_layers": 3,
+  "num_attention_heads": 16,
+  "num_codevector_groups": 2,
+  "num_codevectors_per_group": 320,
+  "num_conv_pos_embedding_groups": 16,
+  "num_conv_pos_embeddings": 128,
+  "num_feat_extract_layers": 7,
+  "num_hidden_layers": 48,
+  "num_negatives": 100,
+  "output_hidden_size": 1280,
+  "pad_token_id": 1204,
+  "proj_codevector_dim": 1024,
+  "tdnn_dilation": [
+    1,
+    2,
+    3,
+    1,
+    1
+  ],
+  "tdnn_dim": [
+    512,
+    512,
+    512,
+    512,
+    1500
+  ],
+  "tdnn_kernel": [
+    5,
+    3,
+    3,
+    1,
+    1
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.17.0.dev0",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 1207,
+  "xvector_output_dim": 512
+}
+
+loading feature extractor configuration file ./preprocessor_config.json
+Feature extractor Wav2Vec2FeatureExtractor {
+  "do_normalize": true,
+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0,
+  "return_attention_mask": true,
+  "sampling_rate": 16000
+}
+
+Didn't find file ./tokenizer.json. We won't load it.
+loading file ./vocab.json
+loading file ./tokenizer_config.json
+loading file ./added_tokens.json
+loading file ./special_tokens_map.json
+loading file None
+Adding <s> to the vocabulary
+Adding </s> to the vocabulary
+/workspace/wav2vec2-xls-r-1b-korean/./ is already a clone of https://huggingface.co/anantoj/wav2vec2-xls-r-1b-korean. Make sure you pull the latest changes with `repo.git_pull()`.
+01/31/2022 11:22:37 - WARNING - huggingface_hub.repository - /workspace/wav2vec2-xls-r-1b-korean/./ is already a clone of https://huggingface.co/anantoj/wav2vec2-xls-r-1b-korean. Make sure you pull the latest changes with `repo.git_pull()`.
+Using amp half precision backend
+The following columns in the training set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+/opt/conda/lib/python3.8/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use thePyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning
+  warnings.warn(
+***** Running training *****
+  Num examples = 22262
+  Num Epochs = 50
+  Instantaneous batch size per device = 8
+  Total train batch size (w. parallel, distributed & accumulation) = 32
+  Gradient Accumulation steps = 4
+  Total optimization steps = 34750
+
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  1%|▏         | 500/34750 [45:49<31:05:46,  3.27s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'loss': 27.8845, 'learning_rate': 3.6e-06, 'epoch': 0.14}
+{'loss': 5.2607, 'learning_rate': 7.35e-06, 'epoch': 0.29}
+{'loss': 4.8397, 'learning_rate': 1.1099999999999999e-05, 'epoch': 0.43}
+{'loss': 4.6751, 'learning_rate': 1.485e-05, 'epoch': 0.57}
+{'loss': 4.603, 'learning_rate': 1.8599999999999998e-05, 'epoch': 0.72}
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-500
+Configuration saved in ./checkpoint-500/config.json
+Model weights saved in ./checkpoint-500/pytorch_model.bin
+Configuration saved in ./checkpoint-500/preprocessor_config.json
+Configuration saved in ./preprocessor_config.json