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02/02/2022 18:04:15 - WARNING - __main__ - Process rank: -1, device: cuda:0, n_gpu: 1distributed training: False, 16-bits training: True
02/02/2022 18:04:15 - 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/Feb02_18-04-15_job-86e1d453-0156-4b77-a98d-7d457c737175,
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,
)
02/02/2022 18:04:18 - WARNING - datasets.builder - Reusing dataset common_voice (/workspace/.cache/huggingface/datasets/mozilla-foundation___common_voice/ur/8.0.0/b8bc4d453193c06a43269b46cd87f075c70f152ac963b7f28f7a2760c45ec3e8)
02/02/2022 18:04:20 - WARNING - datasets.builder - Reusing dataset common_voice (/workspace/.cache/huggingface/datasets/mozilla-foundation___common_voice/ur/8.0.0/b8bc4d453193c06a43269b46cd87f075c70f152ac963b7f28f7a2760c45ec3e8)
02/02/2022 18:04:20 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /workspace/.cache/huggingface/datasets/mozilla-foundation___common_voice/ur/8.0.0/b8bc4d453193c06a43269b46cd87f075c70f152ac963b7f28f7a2760c45ec3e8/cache-eefb1dcecdbc6361.arrow
02/02/2022 18:04:20 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /workspace/.cache/huggingface/datasets/mozilla-foundation___common_voice/ur/8.0.0/b8bc4d453193c06a43269b46cd87f075c70f152ac963b7f28f7a2760c45ec3e8/cache-bebf53ae59038f0e.arrow
loading configuration file https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/config.json from cache at /workspace/.cache/huggingface/transformers/dabc27df63e37bd2a7a221c7774e35f36a280fbdf917cf54cadfc7df8c786f6f.a3e4c3c967d9985881e0ae550a5f6f668f897db5ab2e0802f9b97973b15970e6
Model config Wav2Vec2Config {
"_name_or_path": "facebook/wav2vec2-xls-r-300m",
"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": 768,
"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": 1024,
"initializer_range": 0.02,
"intermediate_size": 4096,
"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": 24,
"num_negatives": 100,
"output_hidden_size": 1024,
"pad_token_id": 0,
"proj_codevector_dim": 768,
"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.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
loading configuration file https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/config.json from cache at /workspace/.cache/huggingface/transformers/dabc27df63e37bd2a7a221c7774e35f36a280fbdf917cf54cadfc7df8c786f6f.a3e4c3c967d9985881e0ae550a5f6f668f897db5ab2e0802f9b97973b15970e6
Model config Wav2Vec2Config {
"_name_or_path": "facebook/wav2vec2-xls-r-300m",
"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": 768,
"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": 1024,
"initializer_range": 0.02,
"intermediate_size": 4096,
"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": 24,
"num_negatives": 100,
"output_hidden_size": 1024,
"pad_token_id": 0,
"proj_codevector_dim": 768,
"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
}
loading feature extractor configuration file https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/preprocessor_config.json from cache at /workspace/.cache/huggingface/transformers/6fb028b95b394059e7d3b367bbca2382b576c66aebe896f04d2cd34e1b575f5b.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
}
loading weights file https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/pytorch_model.bin from cache at /workspace/.cache/huggingface/transformers/1e6a6507f3b689035cd4b247e2a37c154e27f39143f31357a49b4e38baeccc36.1edb32803799e27ed554eb7dd935f6745b1a0b17b0ea256442fe24db6eb546cd
Some weights of the model checkpoint at facebook/wav2vec2-xls-r-300m were not used when initializing Wav2Vec2ForCTC: ['quantizer.weight_proj.weight', 'quantizer.codevectors', 'quantizer.weight_proj.bias', 'project_q.bias', 'project_q.weight', 'project_hid.bias', 'project_hid.weight']
- 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-300m and are newly initialized: ['lm_head.weight', 'lm_head.bias']
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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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": 768,
"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": 1024,
"initializer_range": 0.02,
"intermediate_size": 4096,
"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": 24,
"num_negatives": 100,
"output_hidden_size": 1024,
"pad_token_id": 58,
"proj_codevector_dim": 768,
"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": 61,
"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/xls-r-300m-ur/./ is already a clone of https://huggingface.co/HarrisDePerceptron/xls-r-300m-ur. Make sure you pull the latest changes with `repo.git_pull()`.
02/02/2022 18:04:42 - WARNING - huggingface_hub.repository - /workspace/xls-r-300m-ur/./ is already a clone of https://huggingface.co/HarrisDePerceptron/xls-r-300m-ur. 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 = 810
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 = 1250
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40%|████ | 500/1250 [13:00<17:17, 1.38s/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 = 341
Batch size = 8
{'loss': 20.0794, 'learning_rate': 3.675e-06, 'epoch': 3.98}
{'loss': 10.5776, 'learning_rate': 7.425e-06, 'epoch': 7.98}
{'loss': 6.6033, 'learning_rate': 1.1174999999999999e-05, 'epoch': 11.98}
{'loss': 5.3857, 'learning_rate': 1.4925e-05, 'epoch': 15.98}
{'loss': 4.4431, 'learning_rate': 1.8675e-05, 'epoch': 19.98}
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[A
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[ASaving 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
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80%|████████ | 1000/1250 [26:35<06:04, 1.46s/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 = 341
Batch size = 8
{'eval_loss': 4.144110202789307, 'eval_wer': 1.0, 'eval_runtime': 12.9526, 'eval_samples_per_second': 26.327, 'eval_steps_per_second': 3.32, 'epoch': 19.98}
{'loss': 3.7383, 'learning_rate': 2.2424999999999996e-05, 'epoch': 23.98}
{'loss': 3.361, 'learning_rate': 2.6174999999999996e-05, 'epoch': 27.98}
{'loss': 3.2219, 'learning_rate': 2.9925e-05, 'epoch': 31.98}
{'loss': 3.104, 'learning_rate': 3.3675e-05, 'epoch': 35.98}
{'loss': 3.0399, 'learning_rate': 3.7424999999999995e-05, 'epoch': 39.98}
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[A
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[ASaving model checkpoint to ./checkpoint-1000
Configuration saved in ./checkpoint-1000/config.json
Model weights saved in ./checkpoint-1000/pytorch_model.bin
Configuration saved in ./checkpoint-1000/preprocessor_config.json
Configuration saved in ./preprocessor_config.json
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Training completed. Do not forget to share your model on huggingface.co/models =)
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Saving model checkpoint to ./
Configuration saved in ./config.json
Model weights saved in ./pytorch_model.bin
Configuration saved in ./preprocessor_config.json
Saving model checkpoint to ./
Configuration saved in ./config.json
Model weights saved in ./pytorch_model.bin
Configuration saved in ./preprocessor_config.json
{'eval_loss': 2.9768528938293457, 'eval_wer': 0.9988929889298893, 'eval_runtime': 12.8843, 'eval_samples_per_second': 26.466, 'eval_steps_per_second': 3.337, 'epoch': 39.98}
{'loss': 2.9893, 'learning_rate': 4.1175e-05, 'epoch': 43.98}
{'loss': 2.953, 'learning_rate': 4.4924999999999994e-05, 'epoch': 47.98}
{'train_runtime': 2084.0288, 'train_samples_per_second': 19.434, 'train_steps_per_second': 0.6, 'train_loss': 5.6772947265625, 'epoch': 49.98}
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Upload file pytorch_model.bin: 98%|█████████▊| 1.15G/1.18G [00:42<00:00, 30.5MB/s]To https://huggingface.co/HarrisDePerceptron/xls-r-300m-ur
afc8494..4e1557d main -> main
02/02/2022 18:41:36 - WARNING - huggingface_hub.repository - To https://huggingface.co/HarrisDePerceptron/xls-r-300m-ur
afc8494..4e1557d main -> main
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Dropping the following result as it does not have all the necessary fields:
{'dataset': {'name': 'common_voice', 'type': 'common_voice', 'args': 'ur'}}
To https://huggingface.co/HarrisDePerceptron/xls-r-300m-ur
4e1557d..ab3e230 main -> main
02/02/2022 18:41:43 - WARNING - huggingface_hub.repository - To https://huggingface.co/HarrisDePerceptron/xls-r-300m-ur
4e1557d..ab3e230 main -> main
***** train metrics *****
epoch = 49.98
train_loss = 5.6773
train_runtime = 0:34:44.02
train_samples = 810
train_samples_per_second = 19.434
train_steps_per_second = 0.6
02/02/2022 18:41:45 - INFO - __main__ - *** Evaluate ***
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 = 341
Batch size = 8
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Saving model checkpoint to ./
Configuration saved in ./config.json
Model weights saved in ./pytorch_model.bin
Configuration saved in ./preprocessor_config.json
To https://huggingface.co/HarrisDePerceptron/xls-r-300m-ur
ab3e230..248315d main -> main
***** eval metrics *****
epoch = 49.98
eval_loss = 2.8935
eval_runtime = 0:00:13.07
eval_samples = 341
eval_samples_per_second = 26.076
eval_steps_per_second = 3.288
eval_wer = 0.9875
02/02/2022 18:42:23 - WARNING - huggingface_hub.repository - To https://huggingface.co/HarrisDePerceptron/xls-r-300m-ur
ab3e230..248315d main -> main
Dropping the following result as it does not have all the necessary fields:
{'dataset': {'name': 'MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - UR', 'type': 'common_voice', 'args': 'Config: ur, Training split: train+validation, Eval split: test'}}
To https://huggingface.co/HarrisDePerceptron/xls-r-300m-ur
248315d..b0472b7 main -> main
02/02/2022 18:42:29 - WARNING - huggingface_hub.repository - To https://huggingface.co/HarrisDePerceptron/xls-r-300m-ur
248315d..b0472b7 main -> main
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