diff --git a/.ipynb_checkpoints/added_tokens-checkpoint.json b/.ipynb_checkpoints/added_tokens-checkpoint.json
deleted file mode 100644
index b38dfed11101f74830a36611114cbbf59a84cc13..0000000000000000000000000000000000000000
--- a/.ipynb_checkpoints/added_tokens-checkpoint.json
+++ /dev/null
@@ -1 +0,0 @@
-{"": 216, "": 217}
\ No newline at end of file
diff --git a/.ipynb_checkpoints/all_results-checkpoint.json b/.ipynb_checkpoints/all_results-checkpoint.json
new file mode 100644
index 0000000000000000000000000000000000000000..eedf6de3d636465a7eac4781255f7d29974e9451
--- /dev/null
+++ b/.ipynb_checkpoints/all_results-checkpoint.json
@@ -0,0 +1,14 @@
+{
+ "epoch": 2.0,
+ "eval_loss": 0.23875188827514648,
+ "eval_runtime": 294.1776,
+ "eval_samples": 5792,
+ "eval_samples_per_second": 19.689,
+ "eval_steps_per_second": 0.309,
+ "eval_wer": 0.3680797679950471,
+ "train_loss": 1.442369053426242,
+ "train_runtime": 53680.5392,
+ "train_samples": 442265,
+ "train_samples_per_second": 16.478,
+ "train_steps_per_second": 0.257
+}
\ No newline at end of file
diff --git a/.ipynb_checkpoints/run-checkpoint.sh b/.ipynb_checkpoints/run-checkpoint.sh
index 9592df2a1519d3a0a3f76b0d2c0ad3283aabaa37..5ca89db40ded6253c53b4ff370d18b1de1b6864f 100644
--- a/.ipynb_checkpoints/run-checkpoint.sh
+++ b/.ipynb_checkpoints/run-checkpoint.sh
@@ -6,12 +6,12 @@ python run_speech_recognition_ctc.py \
--tokenizer_name_or_path="./" \
--output_dir="./" \
--overwrite_output_dir \
---num_train_epochs="2" \
+--num_train_epochs="4" \
--per_device_train_batch_size="64" \
--per_device_eval_batch_size="64" \
--gradient_accumulation_steps="1" \
---learning_rate="1e-4" \
---warmup_steps="1500" \
+--learning_rate="1.5e-4" \
+--warmup_steps="2700" \
--length_column_name="input_length" \
--evaluation_strategy="steps" \
--text_column_name="sentence" \
@@ -23,15 +23,15 @@ python run_speech_recognition_ctc.py \
--save_total_limit="2" \
--freeze_feature_encoder \
--feat_proj_dropout="0.0" \
---mask_time_prob="0.75" \
+--mask_time_prob="0.6" \
--mask_time_length="10" \
---mask_feature_prob="0.4" \
+--mask_feature_prob="0.25" \
--mask_feature_length="10" \
--gradient_checkpointing \
--report_to="wandb" \
--run_name="xls-r-300m-fr" \
---max_eval_samples="6000" \
---max_duration_in_seconds="9" \
+--max_eval_samples="4500" \
+--max_duration_in_seconds="10" \
--use_auth_token \
--fp16 \
--group_by_length \
diff --git a/.ipynb_checkpoints/run_speech_recognition_ctc-checkpoint.py b/.ipynb_checkpoints/run_speech_recognition_ctc-checkpoint.py
index a170149c5c7f70e25004717d07aab7ff4ff5cd8b..e68ae073a865c480b9f5f1b2eb61f881c8927690 100644
--- a/.ipynb_checkpoints/run_speech_recognition_ctc-checkpoint.py
+++ b/.ipynb_checkpoints/run_speech_recognition_ctc-checkpoint.py
@@ -642,7 +642,8 @@ def main():
pred.label_ids[pred.label_ids == -100] = tokenizer.pad_token_id
- pred_str = tokenizer.batch_decode(pred_ids, skip_special_tokens=True)#being sure to remove from the output
+ pred_str = tokenizer.batch_decode(pred_ids)#, skip_special_tokens=True)#being sure to remove from the output
+ print(pred_str)
# we do not want to group tokens when computing the metrics
label_str = tokenizer.batch_decode(pred.label_ids, group_tokens=False)
diff --git a/.ipynb_checkpoints/special_tokens_map-checkpoint.json b/.ipynb_checkpoints/special_tokens_map-checkpoint.json
deleted file mode 100644
index 623bcb06d8c0af8f6d7aa926d568ad455780c999..0000000000000000000000000000000000000000
--- a/.ipynb_checkpoints/special_tokens_map-checkpoint.json
+++ /dev/null
@@ -1 +0,0 @@
-{"bos_token": "", "eos_token": "", "unk_token": "[UNK]", "pad_token": "[PAD]", "additional_special_tokens": [{"content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, {"content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}]}
\ No newline at end of file
diff --git a/.ipynb_checkpoints/tokenizer_config-checkpoint.json b/.ipynb_checkpoints/tokenizer_config-checkpoint.json
deleted file mode 100644
index d05145cfed788116e5b3b5f252341bba089096b3..0000000000000000000000000000000000000000
--- a/.ipynb_checkpoints/tokenizer_config-checkpoint.json
+++ /dev/null
@@ -1 +0,0 @@
-{"unk_token": "[UNK]", "bos_token": "", "eos_token": "", "pad_token": "[PAD]", "do_lower_case": false, "word_delimiter_token": "|", "config": null, "tokenizer_type": "wav2vec2", "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "./", "tokenizer_class": "Wav2Vec2CTCTokenizer"}
\ No newline at end of file
diff --git a/.ipynb_checkpoints/train_results-checkpoint.json b/.ipynb_checkpoints/train_results-checkpoint.json
new file mode 100644
index 0000000000000000000000000000000000000000..ad64973ebef5c15cdd7bd40bcd0c808105fd6946
--- /dev/null
+++ b/.ipynb_checkpoints/train_results-checkpoint.json
@@ -0,0 +1,8 @@
+{
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+ "train_runtime": 53680.5392,
+ "train_samples": 442265,
+ "train_samples_per_second": 16.478,
+ "train_steps_per_second": 0.257
+}
\ No newline at end of file
diff --git a/.ipynb_checkpoints/trainer_state-checkpoint.json b/.ipynb_checkpoints/trainer_state-checkpoint.json
new file mode 100644
index 0000000000000000000000000000000000000000..2595da04557927ed990a871ff57446ba0e3ff813
--- /dev/null
+++ b/.ipynb_checkpoints/trainer_state-checkpoint.json
@@ -0,0 +1,1096 @@
+{
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+ "train_samples_per_second": 16.478,
+ "train_steps_per_second": 0.257
+ }
+ ],
+ "max_steps": 13822,
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+}
diff --git a/added_tokens.json b/added_tokens.json
deleted file mode 100644
index 9e26dfeeb6e641a33dae4961196235bdb965b21b..0000000000000000000000000000000000000000
--- a/added_tokens.json
+++ /dev/null
@@ -1 +0,0 @@
-{}
\ No newline at end of file
diff --git a/config.json b/config.json
index cb1657c509154815d941386570a1d01c17a87beb..2dbbc4323ec31d3347b8b0218a9e4a3d587cb74a 100644
--- a/config.json
+++ b/config.json
@@ -6,7 +6,7 @@
"add_adapter": false,
"apply_spec_augment": true,
"architectures": [
- "Wav2Vec2ForCTC"
+ "Wav2Vec2ForPreTraining"
],
"attention_dropout": 0.0,
"bos_token_id": 1,
@@ -61,10 +61,10 @@
"layerdrop": 0.0,
"mask_feature_length": 10,
"mask_feature_min_masks": 0,
- "mask_feature_prob": 0.4,
+ "mask_feature_prob": 0.25,
"mask_time_length": 10,
"mask_time_min_masks": 2,
- "mask_time_prob": 0.75,
+ "mask_time_prob": 0.6,
"model_type": "wav2vec2",
"num_adapter_layers": 3,
"num_attention_heads": 16,
@@ -76,7 +76,7 @@
"num_hidden_layers": 24,
"num_negatives": 100,
"output_hidden_size": 1024,
- "pad_token_id": 216,
+ "pad_token_id": 218,
"proj_codevector_dim": 768,
"tdnn_dilation": [
1,
@@ -102,6 +102,6 @@
"torch_dtype": "float32",
"transformers_version": "4.17.0.dev0",
"use_weighted_layer_sum": false,
- "vocab_size": 218,
+ "vocab_size": 219,
"xvector_output_dim": 512
}
diff --git a/run.sh b/run.sh
index cda18753dbb22a6ae6255a321904638a9dd18ab7..5ca89db40ded6253c53b4ff370d18b1de1b6864f 100644
--- a/run.sh
+++ b/run.sh
@@ -10,8 +10,8 @@ python run_speech_recognition_ctc.py \
--per_device_train_batch_size="64" \
--per_device_eval_batch_size="64" \
--gradient_accumulation_steps="1" \
---learning_rate="2e-4" \
---warmup_steps="2500" \
+--learning_rate="1.5e-4" \
+--warmup_steps="2700" \
--length_column_name="input_length" \
--evaluation_strategy="steps" \
--text_column_name="sentence" \
@@ -30,7 +30,7 @@ python run_speech_recognition_ctc.py \
--gradient_checkpointing \
--report_to="wandb" \
--run_name="xls-r-300m-fr" \
---max_eval_samples="6000" \
+--max_eval_samples="4500" \
--max_duration_in_seconds="10" \
--use_auth_token \
--fp16 \
diff --git a/run_speech_recognition_ctc.py b/run_speech_recognition_ctc.py
index 2bacc6cd1df0e3a23e1bf2978f074df4e39b1ae4..cf12b861965ccfa33840c7003cdcc6bf8bc2d715 100644
--- a/run_speech_recognition_ctc.py
+++ b/run_speech_recognition_ctc.py
@@ -524,7 +524,7 @@ def main():
# load feature_extractor and tokenizer
tokenizer = Wav2Vec2CTCTokenizer.from_pretrained(
tokenizer_name_or_path,
- use_auth_token=data_args.use_auth_token, eos_token=None, bos_token=None,
+ use_auth_token=data_args.use_auth_token,
**tokenizer_kwargs,
)
feature_extractor = AutoFeatureExtractor.from_pretrained(
@@ -729,7 +729,7 @@ def main():
kwargs = {
"finetuned_from": model_args.model_name_or_path,
"tasks": "speech-recognition",
- "tags": ["automatic-speech-recognition", data_args.dataset_name],
+ "tags": ["automatic-speech-recognition", "robust-speech-event", data_args.dataset_name],
"dataset_args": f"Config: {config_name}, Training split: {data_args.train_split_name}, Eval split: {data_args.eval_split_name}",
"dataset": f"{data_args.dataset_name.upper()} - {config_name.upper()}",
}
diff --git a/special_tokens_map.json b/special_tokens_map.json
deleted file mode 100644
index 0b392feb42a394f0531a70b3dcf2d48b6b740266..0000000000000000000000000000000000000000
--- a/special_tokens_map.json
+++ /dev/null
@@ -1 +0,0 @@
-{"bos_token": null, "eos_token": null, "unk_token": "[UNK]", "pad_token": "[PAD]"}
\ No newline at end of file
diff --git a/tokenizer_config.json b/tokenizer_config.json
deleted file mode 100644
index a55ce04a2c6644fdfe274765c9260d5920e40be1..0000000000000000000000000000000000000000
--- a/tokenizer_config.json
+++ /dev/null
@@ -1 +0,0 @@
-{"unk_token": "[UNK]", "bos_token": null, "eos_token": null, "pad_token": "[PAD]", "do_lower_case": false, "word_delimiter_token": "|", "config": null, "tokenizer_type": "wav2vec2", "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "./", "tokenizer_class": "Wav2Vec2CTCTokenizer"}
\ No newline at end of file
diff --git a/wandb/debug-internal.log b/wandb/debug-internal.log
index 49b20ab609811d6088d60ad4becdff32f8f2b020..354409cc851cc5abeddb2d8aace97459ca06bb96 120000
--- a/wandb/debug-internal.log
+++ b/wandb/debug-internal.log
@@ -1 +1 @@
-run-20220129_215451-1vipdbow/logs/debug-internal.log
\ No newline at end of file
+run-20220130_175417-3n44neww/logs/debug-internal.log
\ No newline at end of file
diff --git a/wandb/debug.log b/wandb/debug.log
index 988d18bbb42526804b5d6743fc02587e19caf234..dddbead6310f91f387ff53bf52d780259ffbfdca 120000
--- a/wandb/debug.log
+++ b/wandb/debug.log
@@ -1 +1 @@
-run-20220129_215451-1vipdbow/logs/debug.log
\ No newline at end of file
+run-20220130_175417-3n44neww/logs/debug.log
\ No newline at end of file
diff --git a/wandb/latest-run b/wandb/latest-run
index 3452029a5a0e03b5a2975b1bcb9e42a9df901476..0e1f49964a12bdd3706f095d7084903158b04a33 120000
--- a/wandb/latest-run
+++ b/wandb/latest-run
@@ -1 +1 @@
-run-20220129_215451-1vipdbow
\ No newline at end of file
+run-20220130_175417-3n44neww
\ No newline at end of file
diff --git a/wandb/run-20220130_163246-20w0bl60/files/conda-environment.yaml b/wandb/run-20220130_163246-20w0bl60/files/conda-environment.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/wandb/run-20220130_163246-20w0bl60/files/config.yaml b/wandb/run-20220130_163246-20w0bl60/files/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..6758cec1712727e322f7f04f767244c0596ee6ee
--- /dev/null
+++ b/wandb/run-20220130_163246-20w0bl60/files/config.yaml
@@ -0,0 +1,654 @@
+wandb_version: 1
+
+_n_gpu:
+ desc: null
+ value: 1
+_name_or_path:
+ desc: null
+ value: facebook/wav2vec2-xls-r-300m
+_wandb:
+ desc: null
+ value:
+ cli_version: 0.12.9
+ framework: huggingface
+ huggingface_version: 4.17.0.dev0
+ is_jupyter_run: false
+ is_kaggle_kernel: false
+ m:
+ - 1: train/global_step
+ 6:
+ - 3
+ python_version: 3.8.8
+ start_time: 1643560367
+ t:
+ 1:
+ - 1
+ - 5
+ - 11
+ 2:
+ - 1
+ - 5
+ - 11
+ 3:
+ - 1
+ - 7
+ - 13
+ 4: 3.8.8
+ 5: 0.12.9
+ 6: 4.17.0.dev0
+ 8:
+ - 5
+activation_dropout:
+ desc: null
+ value: 0.05
+adafactor:
+ desc: null
+ value: false
+adam_beta1:
+ desc: null
+ value: 0.9
+adam_beta2:
+ desc: null
+ value: 0.999
+adam_epsilon:
+ desc: null
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diff --git a/wandb/run-20220130_163246-20w0bl60/files/output.log b/wandb/run-20220130_163246-20w0bl60/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..ece1b907166ab374c592435aa9725468f9fcfe30
--- /dev/null
+++ b/wandb/run-20220130_163246-20w0bl60/files/output.log
@@ -0,0 +1,19 @@
+
+ 0%| | 0/27860 [00:00
+ main()
+ File "run_speech_recognition_ctc.py", line 699, in main
+ train_result = trainer.train(resume_from_checkpoint=checkpoint)
+ File "/opt/conda/lib/python3.8/site-packages/transformers/trainer.py", line 1373, in train
+ tr_loss_step = self.training_step(model, inputs)
+ File "/opt/conda/lib/python3.8/site-packages/transformers/trainer.py", line 1948, in training_step
+ loss = self.compute_loss(model, inputs)
+ File "/opt/conda/lib/python3.8/site-packages/transformers/trainer.py", line 1980, in compute_loss
+ outputs = model(**inputs)
+ File "/opt/conda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
+ return forward_call(*input, **kwargs)
+ File "/opt/conda/lib/python3.8/site-packages/transformers/models/wav2vec2/modeling_wav2vec2.py", line 1777, in forward
+ loss = nn.functional.ctc_loss(
+ File "/opt/conda/lib/python3.8/site-packages/torch/nn/functional.py", line 2460, in ctc_loss
+ return torch.ctc_loss(
+RuntimeError: blank must be in label range
\ No newline at end of file
diff --git a/wandb/run-20220130_163246-20w0bl60/files/requirements.txt b/wandb/run-20220130_163246-20w0bl60/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..cf9ab5f8dda320685966fe633f1c90bf2c92beca
--- /dev/null
+++ b/wandb/run-20220130_163246-20w0bl60/files/requirements.txt
@@ -0,0 +1,180 @@
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\ No newline at end of file
diff --git a/wandb/run-20220130_163246-20w0bl60/files/wandb-metadata.json b/wandb/run-20220130_163246-20w0bl60/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..6879f10ccb6c2c4000112d5fad0543d8d1ac6ef7
--- /dev/null
+++ b/wandb/run-20220130_163246-20w0bl60/files/wandb-metadata.json
@@ -0,0 +1,65 @@
+{
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+ "docker": null,
+ "gpu": "Tesla V100S-PCIE-32GB",
+ "gpu_count": 1,
+ "cpu_count": 60,
+ "cuda": null,
+ "args": [
+ "--dataset_name=mozilla-foundation/common_voice_8_0",
+ "--model_name_or_path=facebook/wav2vec2-xls-r-300m",
+ "--dataset_config_name=fr",
+ "--tokenizer_name_or_path=./",
+ "--output_dir=./",
+ "--overwrite_output_dir",
+ "--num_train_epochs=4",
+ "--per_device_train_batch_size=64",
+ "--per_device_eval_batch_size=64",
+ "--gradient_accumulation_steps=1",
+ "--learning_rate=2e-4",
+ "--warmup_steps=2500",
+ "--length_column_name=input_length",
+ "--evaluation_strategy=steps",
+ "--text_column_name=sentence",
+ "--save_steps=500",
+ "--eval_steps=500",
+ "--logging_steps=100",
+ "--layerdrop=0.0",
+ "--activation_dropout=0.05",
+ "--save_total_limit=2",
+ "--freeze_feature_encoder",
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+ "--mask_time_prob=0.6",
+ "--mask_time_length=10",
+ "--mask_feature_prob=0.25",
+ "--mask_feature_length=10",
+ "--gradient_checkpointing",
+ "--report_to=wandb",
+ "--run_name=xls-r-300m-fr",
+ "--max_eval_samples=6000",
+ "--max_duration_in_seconds=10",
+ "--use_auth_token",
+ "--fp16",
+ "--group_by_length",
+ "--preprocessing_num_workers=64",
+ "--do_train",
+ "--do_eval",
+ "--load_best_model_at_end",
+ "--push_to_hub"
+ ],
+ "state": "running",
+ "program": "run_speech_recognition_ctc.py",
+ "codePath": "run_speech_recognition_ctc.py",
+ "git": {
+ "remote": "https://huggingface.co/AlexN/xls-r-300m-fr",
+ "commit": "9d07727def2251b0909520344156eb711ff096b9"
+ },
+ "email": "alexandrenap@hotmail.fr",
+ "root": "/workspace/xls-r-300m-fr",
+ "host": "job-1abccd0a-3293-4ffe-8274-9e8f841f653f",
+ "username": "ovh",
+ "executable": "/opt/conda/bin/python"
+}
diff --git a/wandb/run-20220130_163246-20w0bl60/files/wandb-summary.json b/wandb/run-20220130_163246-20w0bl60/files/wandb-summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..13ed209ce59c23ca7857cb54916c6cd691e4764e
--- /dev/null
+++ b/wandb/run-20220130_163246-20w0bl60/files/wandb-summary.json
@@ -0,0 +1 @@
+{"_wandb": {"runtime": 7}}
\ No newline at end of file
diff --git a/wandb/run-20220130_163246-20w0bl60/logs/debug-internal.log b/wandb/run-20220130_163246-20w0bl60/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..51a81ddfb5873361907b18c8c5626616f26e48b7
--- /dev/null
+++ b/wandb/run-20220130_163246-20w0bl60/logs/debug-internal.log
@@ -0,0 +1,147 @@
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diff --git a/wandb/run-20220130_163246-20w0bl60/logs/debug.log b/wandb/run-20220130_163246-20w0bl60/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..c3d6b274d0aedc0b16ba4bd26964974804219214
--- /dev/null
+++ b/wandb/run-20220130_163246-20w0bl60/logs/debug.log
@@ -0,0 +1,128 @@
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+config: {}
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diff --git a/wandb/run-20220130_174749-kzuygp3o/files/conda-environment.yaml b/wandb/run-20220130_174749-kzuygp3o/files/conda-environment.yaml
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+ value: '[''wandb'']'
+resume_from_checkpoint:
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+ value:
+ - 5
+ - 3
+ - 3
+ - 1
+ - 1
+temperature:
+ desc: null
+ value: 1.0
+tf32:
+ desc: null
+ value: None
+tie_encoder_decoder:
+ desc: null
+ value: false
+tie_word_embeddings:
+ desc: null
+ value: true
+tokenizer_class:
+ desc: null
+ value: null
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+ desc: null
+ value: 50
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+ desc: null
+ value: 1.0
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+ desc: null
+ value: float32
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+ desc: null
+ value: false
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+ desc: null
+ value: false
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+ desc: null
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+ value: 64
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+ desc: null
+ value: 4.17.0.dev0
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+ desc: null
+ value: false
+use_legacy_prediction_loop:
+ desc: null
+ value: false
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+ desc: null
+ value: false
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+ desc: null
+ value: 216
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+ desc: null
+ value: 0.0
+warmup_steps:
+ desc: null
+ value: 2500
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diff --git a/wandb/run-20220130_174749-kzuygp3o/files/output.log b/wandb/run-20220130_174749-kzuygp3o/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..7309b953a437aba2dcbc6939c58b6e786b2b8a24
--- /dev/null
+++ b/wandb/run-20220130_174749-kzuygp3o/files/output.log
@@ -0,0 +1,19 @@
+
+ 0%| | 0/64 [00:00
+ main()
+ File "run_speech_recognition_ctc.py", line 699, in main
+ train_result = trainer.train(resume_from_checkpoint=checkpoint)
+ File "/opt/conda/lib/python3.8/site-packages/transformers/trainer.py", line 1373, in train
+ tr_loss_step = self.training_step(model, inputs)
+ File "/opt/conda/lib/python3.8/site-packages/transformers/trainer.py", line 1948, in training_step
+ loss = self.compute_loss(model, inputs)
+ File "/opt/conda/lib/python3.8/site-packages/transformers/trainer.py", line 1980, in compute_loss
+ outputs = model(**inputs)
+ File "/opt/conda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
+ return forward_call(*input, **kwargs)
+ File "/opt/conda/lib/python3.8/site-packages/transformers/models/wav2vec2/modeling_wav2vec2.py", line 1777, in forward
+ loss = nn.functional.ctc_loss(
+ File "/opt/conda/lib/python3.8/site-packages/torch/nn/functional.py", line 2460, in ctc_loss
+ return torch.ctc_loss(
+RuntimeError: blank must be in label range
\ No newline at end of file
diff --git a/wandb/run-20220130_174749-kzuygp3o/files/requirements.txt b/wandb/run-20220130_174749-kzuygp3o/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..cf9ab5f8dda320685966fe633f1c90bf2c92beca
--- /dev/null
+++ b/wandb/run-20220130_174749-kzuygp3o/files/requirements.txt
@@ -0,0 +1,180 @@
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+debugpy==1.5.1
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+dnspython==2.1.0
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\ No newline at end of file
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@@ -0,0 +1,66 @@
+{
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+ "heartbeatAt": "2022-01-30T17:47:50.968083",
+ "startedAt": "2022-01-30T17:47:49.159655",
+ "docker": null,
+ "gpu": "Tesla V100S-PCIE-32GB",
+ "gpu_count": 1,
+ "cpu_count": 60,
+ "cuda": null,
+ "args": [
+ "--dataset_name=mozilla-foundation/common_voice_8_0",
+ "--model_name_or_path=facebook/wav2vec2-xls-r-300m",
+ "--dataset_config_name=fr",
+ "--tokenizer_name_or_path=./",
+ "--output_dir=./",
+ "--overwrite_output_dir",
+ "--num_train_epochs=4",
+ "--per_device_train_batch_size=64",
+ "--per_device_eval_batch_size=64",
+ "--gradient_accumulation_steps=1",
+ "--learning_rate=2e-4",
+ "--warmup_steps=2500",
+ "--length_column_name=input_length",
+ "--evaluation_strategy=steps",
+ "--text_column_name=sentence",
+ "--save_steps=500",
+ "--eval_steps=500",
+ "--logging_steps=100",
+ "--layerdrop=0.0",
+ "--activation_dropout=0.05",
+ "--save_total_limit=2",
+ "--freeze_feature_encoder",
+ "--feat_proj_dropout=0.0",
+ "--mask_time_prob=0.6",
+ "--mask_time_length=10",
+ "--mask_feature_prob=0.25",
+ "--mask_feature_length=10",
+ "--gradient_checkpointing",
+ "--report_to=wandb",
+ "--run_name=xls-r-300m-fr",
+ "--max_train_samples=1000",
+ "--max_eval_samples=6000",
+ "--max_duration_in_seconds=10",
+ "--use_auth_token",
+ "--fp16",
+ "--group_by_length",
+ "--preprocessing_num_workers=64",
+ "--do_train",
+ "--do_eval",
+ "--load_best_model_at_end",
+ "--push_to_hub"
+ ],
+ "state": "running",
+ "program": "run_speech_recognition_ctc.py",
+ "codePath": "run_speech_recognition_ctc.py",
+ "git": {
+ "remote": "https://huggingface.co/AlexN/xls-r-300m-fr",
+ "commit": "9d07727def2251b0909520344156eb711ff096b9"
+ },
+ "email": "alexandrenap@hotmail.fr",
+ "root": "/workspace/xls-r-300m-fr",
+ "host": "job-1abccd0a-3293-4ffe-8274-9e8f841f653f",
+ "username": "ovh",
+ "executable": "/opt/conda/bin/python"
+}
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+2022-01-30 17:48:00,236 DEBUG HandlerThread:19599 [handler.py:handle_request():130] handle_request: defer
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+2022-01-30 17:48:00,238 DEBUG SenderThread:19599 [sender.py:send():234] send: final
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+2022-01-30 17:48:01,238 INFO WriterThread:19599 [datastore.py:close():281] close: /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/run-kzuygp3o.wandb
+2022-01-30 17:48:01,655 INFO SenderThread:19599 [sender.py:finish():1070] shutting down sender
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+2022-01-30 17:48:01,659 INFO MainThread:19599 [internal.py:handle_exit():77] Internal process exited
diff --git a/wandb/run-20220130_174749-kzuygp3o/logs/debug.log b/wandb/run-20220130_174749-kzuygp3o/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..7a03620f0c70f9406e414a4dbded81e44725de96
--- /dev/null
+++ b/wandb/run-20220130_174749-kzuygp3o/logs/debug.log
@@ -0,0 +1,128 @@
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+2022-01-30 17:47:49,164 INFO MainThread:18676 [wandb_setup.py:_flush():71] setting login settings: {}
+2022-01-30 17:47:49,164 INFO MainThread:18676 [wandb_init.py:_log_setup():371] Logging user logs to /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/logs/debug.log
+2022-01-30 17:47:49,164 INFO MainThread:18676 [wandb_init.py:_log_setup():372] Logging internal logs to /workspace/xls-r-300m-fr/wandb/run-20220130_174749-kzuygp3o/logs/debug-internal.log
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+config: {}
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['Wav2Vec2ForPreTraining'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': 216, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'facebook/wav2vec2-xls-r-300m', 'transformers_version': '4.17.0.dev0', 'feat_extract_dropout': 0.0, 'model_type': 'wav2vec2', 'num_feat_extract_layers': 7, 'hidden_size': 1024, 'feat_extract_norm': 'layer', 'feat_extract_activation': 'gelu', 'conv_dim': [512, 512, 512, 512, 512, 512, 512], 'conv_stride': [5, 2, 2, 2, 2, 2, 2], 'conv_kernel': [10, 3, 3, 3, 3, 2, 2], 'conv_bias': True, 'num_conv_pos_embeddings': 128, 'num_conv_pos_embedding_groups': 16, 'num_hidden_layers': 24, 'intermediate_size': 4096, 'hidden_act': 'gelu', 'num_attention_heads': 16, 'hidden_dropout': 0.0, 'attention_dropout': 0.0, 'activation_dropout': 0.05, 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False, 'fp16': True, 'fp16_opt_level': 'O1', 'half_precision_backend': 'amp', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': 'None', 'local_rank': -1, 'xpu_backend': 'None', 'tpu_num_cores': 'None', 'tpu_metrics_debug': False, 'debug': '[]', 'dataloader_drop_last': False, 'eval_steps': 500, 'dataloader_num_workers': 0, 'past_index': -1, 'run_name': 'xls-r-300m-fr', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': 'None', 'load_best_model_at_end': True, 'metric_for_best_model': 'loss', 'greater_is_better': False, 'ignore_data_skip': False, 'sharded_ddp': '[]', 'deepspeed': 'None', 'label_smoothing_factor': 0.0, 'optim': 'adamw_hf', 'adafactor': False, 'group_by_length': True, 'length_column_name': 'input_length', 'report_to': "['wandb']", 'ddp_find_unused_parameters': 'None', 'ddp_bucket_cap_mb': 'None', 'dataloader_pin_memory': True, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': 'None', 'hub_model_id': 'None', 'hub_strategy': 'every_save', 'hub_token': '', 'gradient_checkpointing': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': 'None', 'push_to_hub_organization': 'None', 'push_to_hub_token': '', '_n_gpu': 1, 'mp_parameters': '', 'train_batch_size': 64, 'eval_batch_size': 64}
+2022-01-30 17:47:51,536 INFO MainThread:18676 [wandb_watch.py:watch():43] Watching
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+2022-01-30 17:47:57,755 INFO MainThread:18676 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+ wandb_count: 1
+}
+pusher_stats {
+ uploaded_bytes: 2216
+ total_bytes: 2216
+}
+
+2022-01-30 17:47:58,079 INFO MainThread:18676 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+ wandb_count: 1
+}
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+ uploaded_bytes: 2216
+ total_bytes: 2216
+}
+
+2022-01-30 17:47:58,987 INFO MainThread:18676 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+ wandb_count: 5
+}
+pusher_stats {
+ uploaded_bytes: 2216
+ total_bytes: 16101
+}
+
+2022-01-30 17:47:59,090 INFO MainThread:18676 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+ wandb_count: 5
+}
+pusher_stats {
+ uploaded_bytes: 2216
+ total_bytes: 16101
+}
+
+2022-01-30 17:47:59,194 INFO MainThread:18676 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+ wandb_count: 5
+}
+pusher_stats {
+ uploaded_bytes: 3544
+ total_bytes: 16101
+}
+
+2022-01-30 17:47:59,297 INFO MainThread:18676 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+ wandb_count: 5
+}
+pusher_stats {
+ uploaded_bytes: 16101
+ total_bytes: 16101
+}
+
+2022-01-30 17:47:59,400 INFO MainThread:18676 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+ wandb_count: 5
+}
+pusher_stats {
+ uploaded_bytes: 16101
+ total_bytes: 16101
+}
+
+2022-01-30 17:47:59,503 INFO MainThread:18676 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+ wandb_count: 5
+}
+pusher_stats {
+ uploaded_bytes: 16101
+ total_bytes: 16101
+}
+
+2022-01-30 17:47:59,605 INFO MainThread:18676 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+ wandb_count: 5
+}
+pusher_stats {
+ uploaded_bytes: 16101
+ total_bytes: 16101
+}
+
+2022-01-30 17:47:59,708 INFO MainThread:18676 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+ wandb_count: 5
+}
+pusher_stats {
+ uploaded_bytes: 16101
+ total_bytes: 16101
+}
+
+2022-01-30 17:48:00,236 INFO MainThread:18676 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+ wandb_count: 5
+}
+pusher_stats {
+ uploaded_bytes: 16101
+ total_bytes: 16101
+}
+
+2022-01-30 17:48:00,656 INFO MainThread:18676 [wandb_run.py:_wait_for_finish():1912] got exit ret: done: true
+exit_result {
+}
+file_counts {
+ wandb_count: 5
+}
+pusher_stats {
+ uploaded_bytes: 16101
+ total_bytes: 16101
+}
+local_info {
+}
+
+2022-01-30 17:48:01,823 INFO MainThread:18676 [wandb_run.py:_append_files():2180] logging synced files
diff --git a/wandb/run-20220130_174749-kzuygp3o/run-kzuygp3o.wandb b/wandb/run-20220130_174749-kzuygp3o/run-kzuygp3o.wandb
new file mode 100644
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diff --git a/wandb/run-20220130_175135-mz3dbiz4/files/conda-environment.yaml b/wandb/run-20220130_175135-mz3dbiz4/files/conda-environment.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/wandb/run-20220130_175135-mz3dbiz4/files/config.yaml b/wandb/run-20220130_175135-mz3dbiz4/files/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..838eb10862ced1bc8b32f373b0f9b32be057e38d
--- /dev/null
+++ b/wandb/run-20220130_175135-mz3dbiz4/files/config.yaml
@@ -0,0 +1,654 @@
+wandb_version: 1
+
+_n_gpu:
+ desc: null
+ value: 1
+_name_or_path:
+ desc: null
+ value: facebook/wav2vec2-xls-r-300m
+_wandb:
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+ value:
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+ framework: huggingface
+ huggingface_version: 4.17.0.dev0
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+ is_kaggle_kernel: false
+ m:
+ - 1: train/global_step
+ 6:
+ - 3
+ python_version: 3.8.8
+ start_time: 1643565096
+ t:
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+ - 1
+ - 5
+ - 11
+ 2:
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+ - 5
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+ value: 0.05
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+ value: false
+adam_beta1:
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+ value: 0.9
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+ value: 0.999
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+ value: 1.0e-08
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+ value: 3
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+ desc: null
+ value: 2
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+ desc: null
+ value: false
+add_cross_attention:
+ desc: null
+ value: false
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+ desc: null
+ value: true
+architectures:
+ desc: null
+ value:
+ - Wav2Vec2ForPreTraining
+attention_dropout:
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+ value: 0.0
+bad_words_ids:
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+ value: null
+bf16:
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+ value: false
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+ value: false
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+ desc: null
+ value: 1
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+classifier_proj_size:
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+ value: 256
+codevector_dim:
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+ value: 768
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+ value: 0.1
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+ value: true
+conv_dim:
+ desc: null
+ value:
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+ - 512
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+ - 512
+ - 512
+ - 512
+ - 512
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+ - 2
+ - 2
+ - 2
+ - 2
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+ desc: null
+ value: null
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+ value: mean
+ctc_zero_infinity:
+ desc: null
+ value: false
+dataloader_drop_last:
+ desc: null
+ value: false
+dataloader_num_workers:
+ desc: null
+ value: 0
+dataloader_pin_memory:
+ desc: null
+ value: true
+ddp_bucket_cap_mb:
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+ value: None
+ddp_find_unused_parameters:
+ desc: null
+ value: None
+debug:
+ desc: null
+ value: '[]'
+decoder_start_token_id:
+ desc: null
+ value: null
+deepspeed:
+ desc: null
+ value: None
+disable_tqdm:
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+ value: false
+diversity_loss_weight:
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+ value: 0.1
+diversity_penalty:
+ desc: null
+ value: 0.0
+do_eval:
+ desc: null
+ value: true
+do_predict:
+ desc: null
+ value: false
+do_sample:
+ desc: null
+ value: false
+do_stable_layer_norm:
+ desc: null
+ value: true
+do_train:
+ desc: null
+ value: true
+early_stopping:
+ desc: null
+ value: false
+encoder_no_repeat_ngram_size:
+ desc: null
+ value: 0
+eos_token_id:
+ desc: null
+ value: 2
+eval_accumulation_steps:
+ desc: null
+ value: None
+eval_batch_size:
+ desc: null
+ value: 64
+eval_steps:
+ desc: null
+ value: 500
+evaluation_strategy:
+ desc: null
+ value: steps
+feat_extract_activation:
+ desc: null
+ value: gelu
+feat_extract_dropout:
+ desc: null
+ value: 0.0
+feat_extract_norm:
+ desc: null
+ value: layer
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+ desc: null
+ value: 0.0
+feat_quantizer_dropout:
+ desc: null
+ value: 0.0
+final_dropout:
+ desc: null
+ value: 0.0
+finetuning_task:
+ desc: null
+ value: null
+forced_bos_token_id:
+ desc: null
+ value: null
+forced_eos_token_id:
+ desc: null
+ value: null
+fp16:
+ desc: null
+ value: true
+fp16_backend:
+ desc: null
+ value: auto
+fp16_full_eval:
+ desc: null
+ value: false
+fp16_opt_level:
+ desc: null
+ value: O1
+gradient_accumulation_steps:
+ desc: null
+ value: 1
+gradient_checkpointing:
+ desc: null
+ value: true
+greater_is_better:
+ desc: null
+ value: false
+group_by_length:
+ desc: null
+ value: true
+half_precision_backend:
+ desc: null
+ value: amp
+hidden_act:
+ desc: null
+ value: gelu
+hidden_dropout:
+ desc: null
+ value: 0.0
+hidden_size:
+ desc: null
+ value: 1024
+hub_model_id:
+ desc: null
+ value: None
+hub_strategy:
+ desc: null
+ value: every_save
+hub_token:
+ desc: null
+ value:
+id2label:
+ desc: null
+ value:
+ '0': LABEL_0
+ '1': LABEL_1
+ignore_data_skip:
+ desc: null
+ value: false
+initializer_range:
+ desc: null
+ value: 0.02
+intermediate_size:
+ desc: null
+ value: 4096
+is_decoder:
+ desc: null
+ value: false
+is_encoder_decoder:
+ desc: null
+ value: false
+label2id:
+ desc: null
+ value:
+ LABEL_0: 0
+ LABEL_1: 1
+label_names:
+ desc: null
+ value: None
+label_smoothing_factor:
+ desc: null
+ value: 0.0
+layer_norm_eps:
+ desc: null
+ value: 1.0e-05
+layerdrop:
+ desc: null
+ value: 0.0
+learning_rate:
+ desc: null
+ value: 0.0002
+length_column_name:
+ desc: null
+ value: input_length
+length_penalty:
+ desc: null
+ value: 1.0
+load_best_model_at_end:
+ desc: null
+ value: true
+local_rank:
+ desc: null
+ value: -1
+log_level:
+ desc: null
+ value: -1
+log_level_replica:
+ desc: null
+ value: -1
+log_on_each_node:
+ desc: null
+ value: true
+logging_dir:
+ desc: null
+ value: ./runs/Jan30_17-50-54_job-1abccd0a-3293-4ffe-8274-9e8f841f653f
+logging_first_step:
+ desc: null
+ value: false
+logging_nan_inf_filter:
+ desc: null
+ value: true
+logging_steps:
+ desc: null
+ value: 100
+logging_strategy:
+ desc: null
+ value: steps
+lr_scheduler_type:
+ desc: null
+ value: linear
+mask_feature_length:
+ desc: null
+ value: 10
+mask_feature_min_masks:
+ desc: null
+ value: 0
+mask_feature_prob:
+ desc: null
+ value: 0.25
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+ value: 10
+mask_time_min_masks:
+ desc: null
+ value: 2
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+ value: 0.6
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+ value: 1.0
+max_length:
+ desc: null
+ value: 20
+max_steps:
+ desc: null
+ value: -1
+metric_for_best_model:
+ desc: null
+ value: loss
+min_length:
+ desc: null
+ value: 0
+model_type:
+ desc: null
+ value: wav2vec2
+mp_parameters:
+ desc: null
+ value: ''
+no_cuda:
+ desc: null
+ value: false
+no_repeat_ngram_size:
+ desc: null
+ value: 0
+num_adapter_layers:
+ desc: null
+ value: 3
+num_attention_heads:
+ desc: null
+ value: 16
+num_beam_groups:
+ desc: null
+ value: 1
+num_beams:
+ desc: null
+ value: 1
+num_codevector_groups:
+ desc: null
+ value: 2
+num_codevectors_per_group:
+ desc: null
+ value: 320
+num_conv_pos_embedding_groups:
+ desc: null
+ value: 16
+num_conv_pos_embeddings:
+ desc: null
+ value: 128
+num_feat_extract_layers:
+ desc: null
+ value: 7
+num_hidden_layers:
+ desc: null
+ value: 24
+num_negatives:
+ desc: null
+ value: 100
+num_return_sequences:
+ desc: null
+ value: 1
+num_train_epochs:
+ desc: null
+ value: 4.0
+optim:
+ desc: null
+ value: adamw_hf
+output_attentions:
+ desc: null
+ value: false
+output_dir:
+ desc: null
+ value: ./
+output_hidden_size:
+ desc: null
+ value: 1024
+output_hidden_states:
+ desc: null
+ value: false
+output_scores:
+ desc: null
+ value: false
+overwrite_output_dir:
+ desc: null
+ value: true
+pad_token_id:
+ desc: null
+ value: 218
+past_index:
+ desc: null
+ value: -1
+per_device_eval_batch_size:
+ desc: null
+ value: 64
+per_device_train_batch_size:
+ desc: null
+ value: 64
+per_gpu_eval_batch_size:
+ desc: null
+ value: None
+per_gpu_train_batch_size:
+ desc: null
+ value: None
+prediction_loss_only:
+ desc: null
+ value: false
+prefix:
+ desc: null
+ value: null
+problem_type:
+ desc: null
+ value: null
+proj_codevector_dim:
+ desc: null
+ value: 768
+pruned_heads:
+ desc: null
+ 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:
+remove_invalid_values:
+ desc: null
+ value: false
+remove_unused_columns:
+ desc: null
+ value: true
+repetition_penalty:
+ desc: null
+ value: 1.0
+report_to:
+ desc: null
+ value: '[''wandb'']'
+resume_from_checkpoint:
+ desc: null
+ value: None
+return_dict:
+ desc: null
+ value: true
+return_dict_in_generate:
+ desc: null
+ value: false
+run_name:
+ desc: null
+ value: xls-r-300m-fr
+save_on_each_node:
+ desc: null
+ value: false
+save_steps:
+ desc: null
+ value: 500
+save_strategy:
+ desc: null
+ value: steps
+save_total_limit:
+ desc: null
+ value: 2
+seed:
+ desc: null
+ value: 42
+sep_token_id:
+ desc: null
+ value: null
+sharded_ddp:
+ desc: null
+ value: '[]'
+skip_memory_metrics:
+ desc: null
+ value: true
+task_specific_params:
+ desc: null
+ value: null
+tdnn_dilation:
+ desc: null
+ value:
+ - 1
+ - 2
+ - 3
+ - 1
+ - 1
+tdnn_dim:
+ desc: null
+ value:
+ - 512
+ - 512
+ - 512
+ - 512
+ - 1500
+tdnn_kernel:
+ desc: null
+ value:
+ - 5
+ - 3
+ - 3
+ - 1
+ - 1
+temperature:
+ desc: null
+ value: 1.0
+tf32:
+ desc: null
+ value: None
+tie_encoder_decoder:
+ desc: null
+ value: false
+tie_word_embeddings:
+ desc: null
+ value: true
+tokenizer_class:
+ desc: null
+ value: null
+top_k:
+ desc: null
+ value: 50
+top_p:
+ desc: null
+ value: 1.0
+torch_dtype:
+ desc: null
+ value: float32
+torchscript:
+ desc: null
+ value: false
+tpu_metrics_debug:
+ desc: null
+ value: false
+tpu_num_cores:
+ desc: null
+ value: None
+train_batch_size:
+ desc: null
+ value: 64
+transformers_version:
+ desc: null
+ value: 4.17.0.dev0
+use_bfloat16:
+ desc: null
+ value: false
+use_legacy_prediction_loop:
+ desc: null
+ value: false
+use_weighted_layer_sum:
+ desc: null
+ value: false
+vocab_size:
+ desc: null
+ value: 219
+warmup_ratio:
+ desc: null
+ value: 0.0
+warmup_steps:
+ desc: null
+ value: 2500
+weight_decay:
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+ value: None
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+ value: 512
diff --git a/wandb/run-20220130_175135-mz3dbiz4/files/output.log b/wandb/run-20220130_175135-mz3dbiz4/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..da476786551edf9a531919d766bf8d133a6cb273
--- /dev/null
+++ b/wandb/run-20220130_175135-mz3dbiz4/files/output.log
@@ -0,0 +1,56 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ 45%|█████████████████████████████████████████████████████████████████████████████▉ | 29/64 [01:44<02:10, 3.72s/it]Traceback (most recent call last):
+ File "run_speech_recognition_ctc.py", line 749, in
+ main()
+ File "run_speech_recognition_ctc.py", line 700, in main
+ train_result = trainer.train(resume_from_checkpoint=checkpoint)
+ File "/opt/conda/lib/python3.8/site-packages/transformers/trainer.py", line 1347, in train
+ for step, inputs in enumerate(epoch_iterator):
+ File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 521, in __next__
+ data = self._next_data()
+ File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 561, in _next_data
+ data = self._dataset_fetcher.fetch(index) # may raise StopIteration
+ File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 52, in fetch
+ return self.collate_fn(data)
+ File "run_speech_recognition_ctc.py", line 282, in __call__
+ batch = self.processor.pad(
+ File "/opt/conda/lib/python3.8/site-packages/transformers/models/wav2vec2/processing_wav2vec2.py", line 147, in pad
+ return self.current_processor.pad(*args, **kwargs)
+ File "/opt/conda/lib/python3.8/site-packages/transformers/feature_extraction_sequence_utils.py", line 217, in pad
+ outputs = self._pad(
+ File "/opt/conda/lib/python3.8/site-packages/transformers/feature_extraction_sequence_utils.py", line 286, in _pad
+ processed_features[self.model_input_names[0]] = np.pad(
+ File "<__array_function__ internals>", line 5, in pad
+ File "/opt/conda/lib/python3.8/site-packages/numpy/lib/arraypad.py", line 796, in pad
+ padded, original_area_slice = _pad_simple(array, pad_width)
+ File "/opt/conda/lib/python3.8/site-packages/numpy/lib/arraypad.py", line 124, in _pad_simple
+ padded[original_area_slice] = array
+KeyboardInterrupt
\ No newline at end of file
diff --git a/wandb/run-20220130_175135-mz3dbiz4/files/requirements.txt b/wandb/run-20220130_175135-mz3dbiz4/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..cf9ab5f8dda320685966fe633f1c90bf2c92beca
--- /dev/null
+++ b/wandb/run-20220130_175135-mz3dbiz4/files/requirements.txt
@@ -0,0 +1,180 @@
+aiohttp==3.8.1
+aiosignal==1.2.0
+analytics-python==1.4.0
+anyio==3.5.0
+appdirs==1.4.4
+argon2-cffi-bindings==21.2.0
+argon2-cffi==21.3.0
+asgiref==3.5.0
+asttokens==2.0.5
+async-timeout==4.0.2
+attrs==21.4.0
+audioread==2.1.9
+backcall==0.2.0
+backoff==1.10.0
+bcrypt==3.2.0
+beautifulsoup4==4.9.3
+black==21.12b0
+bleach==4.1.0
+brotlipy==0.7.0
+certifi==2020.12.5
+cffi==1.14.3
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+charset-normalizer==2.0.10
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+conda-build==3.21.4
+conda-package-handling==1.7.2
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+h11==0.13.0
+huggingface-hub==0.4.0
+idna==2.10
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+ipython==8.0.1
+ipywidgets==7.6.3
+jedi==0.17.0
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+jiwer==2.3.0
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+json5==0.9.6
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+jupyter-core==4.9.1
+jupyterlab-pygments==0.1.2
+jupyterlab-server==1.2.0
+jupyterlab-widgets==1.0.2
+jupyterlab==2.2.9
+kiwisolver==1.3.2
+libarchive-c==2.9
+librosa==0.8.1
+llvmlite==0.38.0
+markdown2==2.4.2
+markupsafe==1.1.1
+matplotlib-inline==0.1.3
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+mistune==0.8.4
+mkl-fft==1.3.0
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+nest-asyncio==1.5.4
+notebook==6.4.8
+numba==0.55.1
+numpy==1.19.2
+olefile==0.46
+packaging==21.3
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+pandocfilters==1.5.0
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+parso==0.8.1
+pathspec==0.9.0
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+pexpect==4.8.0
+pickleshare==0.7.5
+pillow==8.1.2
+pip==21.3.1
+pkginfo==1.7.0
+platformdirs==2.4.1
+pooch==1.6.0
+prometheus-client==0.13.0
+promise==2.3
+prompt-toolkit==3.0.8
+protobuf==3.19.4
+psutil==5.8.0
+ptyprocess==0.7.0
+pure-eval==0.2.2
+pyarrow==6.0.1
+pycosat==0.6.3
+pycparser==2.20
+pycryptodome==3.13.0
+pydantic==1.9.0
+pydub==0.25.1
+pygments==2.8.0
+pynacl==1.5.0
+pyopenssl==19.1.0
+pyparsing==3.0.7
+pyrsistent==0.18.1
+pysocks==1.7.1
+python-dateutil==2.8.2
+python-etcd==0.4.5
+python-levenshtein==0.12.2
+python-multipart==0.0.5
+pytz==2021.1
+pyyaml==5.4.1
+pyzmq==22.3.0
+regex==2022.1.18
+requests==2.24.0
+resampy==0.2.2
+ruamel-yaml==0.15.87
+sacremoses==0.0.47
+scikit-learn==1.0.2
+scipy==1.7.3
+send2trash==1.8.0
+sentry-sdk==1.5.4
+setuptools==50.3.1.post20201107
+shortuuid==1.0.8
+six==1.15.0
+smmap==5.0.0
+sniffio==1.2.0
+soundfile==0.10.3.post1
+soupsieve==2.2
+stack-data==0.1.4
+starlette==0.17.1
+subprocess32==3.5.4
+termcolor==1.1.0
+terminado==0.13.1
+testpath==0.5.0
+threadpoolctl==3.0.0
+tokenizers==0.11.4
+tomli==1.2.3
+torch==1.10.2
+torchaudio==0.10.2
+torchelastic==0.2.2
+torchtext==0.9.1
+torchvision==0.9.1
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new file mode 100644
index 0000000000000000000000000000000000000000..dc1c69f243e1185d7756028fecb11e0814549dee
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+ "heartbeatAt": "2022-01-30T17:51:37.144939",
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+ "--dataset_name=mozilla-foundation/common_voice_8_0",
+ "--model_name_or_path=facebook/wav2vec2-xls-r-300m",
+ "--dataset_config_name=fr",
+ "--tokenizer_name_or_path=./",
+ "--output_dir=./",
+ "--overwrite_output_dir",
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+ "--learning_rate=2e-4",
+ "--warmup_steps=2500",
+ "--length_column_name=input_length",
+ "--evaluation_strategy=steps",
+ "--text_column_name=sentence",
+ "--save_steps=500",
+ "--eval_steps=500",
+ "--logging_steps=100",
+ "--layerdrop=0.0",
+ "--activation_dropout=0.05",
+ "--save_total_limit=2",
+ "--freeze_feature_encoder",
+ "--feat_proj_dropout=0.0",
+ "--mask_time_prob=0.6",
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+ "--max_duration_in_seconds=10",
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+ "--fp16",
+ "--group_by_length",
+ "--preprocessing_num_workers=64",
+ "--do_train",
+ "--do_eval",
+ "--load_best_model_at_end",
+ "--push_to_hub"
+ ],
+ "state": "running",
+ "program": "run_speech_recognition_ctc.py",
+ "codePath": "run_speech_recognition_ctc.py",
+ "git": {
+ "remote": "https://huggingface.co/AlexN/xls-r-300m-fr",
+ "commit": "9d07727def2251b0909520344156eb711ff096b9"
+ },
+ "email": "alexandrenap@hotmail.fr",
+ "root": "/workspace/xls-r-300m-fr",
+ "host": "job-1abccd0a-3293-4ffe-8274-9e8f841f653f",
+ "username": "ovh",
+ "executable": "/opt/conda/bin/python"
+}
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new file mode 100644
index 0000000000000000000000000000000000000000..219dabc47b3eedfc682be34f2c4ddbd4d42013ff
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\ No newline at end of file
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diff --git a/wandb/run-20220130_175135-mz3dbiz4/logs/debug.log b/wandb/run-20220130_175135-mz3dbiz4/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..5c7999a48e3a51f7cc48a62761134127fd7e1012
--- /dev/null
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@@ -0,0 +1,128 @@
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['Wav2Vec2ForPreTraining'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': 218, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'facebook/wav2vec2-xls-r-300m', 'transformers_version': '4.17.0.dev0', 'feat_extract_dropout': 0.0, 'model_type': 'wav2vec2', 'num_feat_extract_layers': 7, 'hidden_size': 1024, 'feat_extract_norm': 'layer', 'feat_extract_activation': 'gelu', 'conv_dim': [512, 512, 512, 512, 512, 512, 512], 'conv_stride': [5, 2, 2, 2, 2, 2, 2], 'conv_kernel': [10, 3, 3, 3, 3, 2, 2], 'conv_bias': True, 'num_conv_pos_embeddings': 128, 'num_conv_pos_embedding_groups': 16, 'num_hidden_layers': 24, 'intermediate_size': 4096, 'hidden_act': 'gelu', 'num_attention_heads': 16, 'hidden_dropout': 0.0, 'attention_dropout': 0.0, 'activation_dropout': 0.05, 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+ wandb_count: 1
+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+ wandb_count: 5
+}
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+ uploaded_bytes: 16932
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+}
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+ wandb_count: 5
+}
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+ uploaded_bytes: 16932
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+}
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+}
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+}
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+}
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+}
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+ wandb_count: 5
+}
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+}
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+}
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+}
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diff --git a/wandb/run-20220130_175135-mz3dbiz4/run-mz3dbiz4.wandb b/wandb/run-20220130_175135-mz3dbiz4/run-mz3dbiz4.wandb
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diff --git a/wandb/run-20220130_175417-3n44neww/files/conda-environment.yaml b/wandb/run-20220130_175417-3n44neww/files/conda-environment.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/wandb/run-20220130_175417-3n44neww/files/config.yaml b/wandb/run-20220130_175417-3n44neww/files/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..c6a3b366b93601ab4bab902d9dfa69f2a91139ac
--- /dev/null
+++ b/wandb/run-20220130_175417-3n44neww/files/config.yaml
@@ -0,0 +1,686 @@
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+ value: facebook/wav2vec2-xls-r-300m
+_wandb:
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+ framework: huggingface
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+ is_kaggle_kernel: false
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+ python_version: 3.8.8
+ start_time: 1643565257
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+ '1': LABEL_1
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+ value: 768
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+ value: {}
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+ value: true
+push_to_hub_model_id:
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+ value: None
+push_to_hub_organization:
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+ value: None
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+ value:
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+ value: '[''wandb'']'
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+ value: xls-r-300m-fr
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+ value: 500
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+ value: '[]'
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+ value: true
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+ value: 1.0
+tf32:
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diff --git a/wandb/run-20220130_175417-3n44neww/files/output.log b/wandb/run-20220130_175417-3n44neww/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..65ce13dff33303d1f0589933edd2381beeb5d0e8
--- /dev/null
+++ b/wandb/run-20220130_175417-3n44neww/files/output.log
@@ -0,0 +1,67 @@
+
+
+
+
+
+ 6%|██████████▊ | 4/64 [00:16<04:04, 4.08s/it]
+ 8%|█████████████▌ | 5/64 [00:19<03:39, 3.73s/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 = 60
+ Batch size = 64
+['~զ‐զ‐a‐め‐զ‐զ‐めզ‐め‐զ‐め‐めզめ‐めզ‐զ‐զ‐զめզ‐め‐զ‐զ‐զ—զ‐զːめզ‐զめ‐զ‐զ‐ːめզ‐զ‐զ‐め~青βまиi=', '~զːզ—զaզa*զaզaզːզːզ—զːզaզ—զ—ːզaզː—զ—զ=~β~β=ま=まиaզa', '~‐զ‐զːզめզめ‐զːզaզ—զ‐զːզːզ—զaզ—‐զ‐զ—զ‐զ‐զ‐զ‐զ‐զ‐—‐—iиまи', 'ψ‐ː‐զ‐—‐զ‐զ‐—զa—զめզめզ‐զ‐զ‐զ‐զめզ‐զ‐զ‐զめզ—զ‐զめ—զːզめզ—めːզめզ—զːaզaզ‐զːզ‐めզ‐զめզめ‐զめ‐め‐め‐め‐め‐=ᆨiま=ま', 'ψaզ‐զ‐զ‐a‐զːզ‐զ‐զːզ—զ‐զ‐զ‐զ—aզ‐զːaːaզめaզ‐զːզːզ‐զめզ—ː—զ甌‐めզめզ‐*զ‐a‐aզ‐զ‐զ‐a~β~β~E=', 'ψːզːզ‐զ‐զめ—զ‐め‐ːզ‐զ‐զ*զːզ‐զ‐զaզ*զ—ːզ‐զaզ*զaːզːզːզ‐զːզめզ‐զ‐めզːզ‐զめզ‐զ=iᆨβ~βᆨβᆨβᆨβまβまβまβ=β=', 'β‐զめզ‐զ—զ—զ—զ‐զ‐զ—ːզ‐զめզ‐զ—զːզːզ‐զ‐զめ‐զ‐—զ—զめզめզ‐զめ‐めզめ‐զ‐め‐զめզ‐զ‐զ‐めզめզ‐զ—զ‐զめ‐զ‐aiиiиま', '~‐զ‐զ‐զ‐զ‐զ‐a‐զ‐めզめզ‐めզめːզ‐զ‐めզ‐զめզ‐զ‐զːզ‐զめզ‐զ—ːզ‐զ‐զ—զ‐զ‐զめզ‐め‐め‐զ‐a‐aզ‐a‐a‐=β~β', '~զめaиaզ—めզめզめզめզめզめզめզめ—めզ—aզめզめզːaզめ—めզめզめզめզめզめ—めզめզːaզめ—զめզめզめ—ːզめզめզめզめːaզめզめզ—a—զめզめզめզめզめզめզめզめզめզめզめզめզめզ—めզめզめզめaᆨиβ', '~‐ːզめզ—զ‐—զめ‐め‐め‐и‐զ‐め—ːզ‐զ‐զ‐զ‐զːզaզa—զめզ‐զ—զめզめզa‐զ‐զめզ‐めզːզめզめզ‐ːめզ‐զ‐զめզめ—め‐զめːզ‐—めզめզ‐զ‐զːզ‐めզめզ‐զ‐զ‐զ‐めզめ‐め‐զ‐զ‐めզaめ*めզめ‐めզめզ‐=iEiቀまቀま甌ま甌β', '~‐զ‐զめզ‐զめզめզ‐めː—aզ*ːզ‐զ‐զめզ‐めզ‐めզめզː—ːզːaզめզ‐զめզめːզ‐めզめ—զ‐զ‐զaզ*զ‐զ‐め‐めզ‐զ‐զめզː‐զ—ːզ‐զ‐զめզːզ‐զ‐զ‐զ‐զ‐զ‐զːめզめզめզめզ=զめ‐めզめ‐め‐զめզめ‐զ‐めզめզ‐զ‐=i~i~i~', 'ψզ‐a—զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐め‐զ‐զめ‐զ‐め‐*‐զ‐զ‐զ‐զ—ːզ‐զ‐զ—զめզめզ‐զめ‐め‐զめզめզːզめզːaզːめզめզ‐զ‐—‐め‐め‐—զめ‐め‐զ‐め‐զ‐—‐զ‐ː‐զ—զːզ‐զ‐զ‐=iиiиi甌i甌β', '~‐и‐զ‐a‐め‐*զ‐*‐めզ甌զめզ‐*զ‐めզ‐զ‐զ*めզ‐զ*‐甌‐զ‐զ—զ*զ‐զ‐զ‐զ*զ‐զ*զ‐զめզめզめզめզ‐զめզめզ‐めզめզ‐զ‐զ*զめզめզ—‐զ‐զ‐զ‐—զ‐զめզめզ*‐զめզめզ‐*‐զ‐めզ‐զ‐*‐め‐*‐め‐め‐め‐め‐め‐—‐ː‐զ—‐甌‐め‐め‐aiτi', '~‐—‐—‐զ‐զ‐զ‐ː‐めզːզめզめզ—զ‐զ‐զ—զ—ː—զめզめզ‐զːզːզ‐զːզめ‐զ‐զːզ‐զ‐զːめզːզめզ—զːզːզめ‐めզ‐զːめːզめզめ—զめզ‐զ‐զ‐զ‐զ—զːզːզ‐ː—‐զ‐զ‐զ‐aզ‐aiβ~まaまiβ', '~‐ːզめզめզ‐զa*զ—aզːզːզ—զaːaːզめզ—զa—aզːaզ—aːզːզːզ—զːզːզめզ‐զa青β~青まaи=', '~a—めaզ‐aզ‐զ‐զめզ‐a‐զ‐զaզaːզːզ‐զːզ‐めզːզ‐զaզaզa‐զːզ—զ‐զ‐զ*զめզ—զめզめզaզ‐ːզaːaզ‐a=~и', '~=ːaզ‐զ‐զ‐—‐զ‐a‐a‐զ‐զ‐—զめaզaզ‐զ—զaզ—զ‐զː—զ—զめ‐—‐զ*զ—‐զaզː—զ‐զ‐զ‐զ—aզː—զ‐զ‐զː—զ‐զ‐=iβ~βまи=', '~զaզめզ‐զ‐զ‐զ‐զ‐զ—զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐aզaզaզaզ—aզ‐զː—զ—զ‐զ‐զ‐զː—զa—զ‐զ—զ—զːaզ—զめզaզː—զːզː—զ‐զ‐զːզめզ‐զa=β~βቀ=', 'ψː—զめզ—զ*զa‐զ*‐զ‐զːզaզ—aզaզめզめզめզめ—զaզa—զめ‐զ*զ‐զ*զめզaզ‐զ‐զめզaզːզ~яиβиβия', 'ψː—aզめզ‐զː‐aզːaզ—aː—զ—զːզːզめզaզa—ːզ*—aզ—ːզめ‐զ‐aզ‐զ‐a‐め‐զːզめզ‐զ‐ːզːզ‐զ‐զ‐զaզː‐—զ‐զ‐ːզ‐զ‐aզめզ‐զ‐զaզ‐զ‐ː—ːզめզaզ‐զ≥›βEиaи=ቀ', '~զ‐め‐めզ‐զaզめզ*զ—զめզːaːaզ—զめզ—ːaզːզaզaզ—զːզ‐զ—ːզːզaզめզめզめa‐զめզ‐զめ~青~βββ', 'ψզ—‐め‐զ‐め‐զ‐め‐զːզaզ—զ‐զːզめզ‐զ—զ‐め‐զめ‐めզ*—ːզ‐め—զːզː—զ‐զ—զ—め—զːզめ‐め‐զ‐զめ*—aզːզːզ‐զːզː—զめզめːզ—զːզ‐—‐ːզめզ—զ—զ—ːզːզ—զː‐め‐—զめզめ‐զ‐a‐め‐め‐զ‐めզ‐զ‐զ‐≥青~', '~aզaːզa—a—aզめզめզ—aզaզːզːզa—ːaːaզ*—aːaզaզːզaզ—aːզː—ːզ~=β~β~β~β', 'β‐—‐զ‐զ‐զ‐զ‐զ‐զめզ‐զ‐զ‐զ‐զめ‐զ—զaզめ‐զ—a—めզ‐めզ‐զめզaզ‐զ‐զ‐めզ‐զ‐めզ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐aᆨiиiиまi', '~զː—զaզ—a—aզaզːզa—aːaզ—ːզ—զ*—զ—ːaզaզaզːaːaզaː—aզ=~β~β~', '~զ‐զ—ːզ—զめզ‐զaզ—զːaզːզ—զːզ—զː*—զːզ—զaզaզːզaզ—զ‐զːզ‐զa—ː*ːaզ—զ—զːզaːaզ‐զ—զめզːզ‐զ=‐զa=β=~=β=β', '~め‐զめиめզめ‐めզめզめզめaめզ‐զめa—զa—զめզめզلaզめa—զめa—զめaզめզめզめզ—զaզ—めզ—զめզめզ—զめզ—զ—զiи~β', '~զ‐զ‐զめ‐զめ‐—‐զ‐զ‐զ—զ‐զ‐զ—զめզめզ—զ—զa‐զ‐զ‐զ‐զ‐զめզ‐զ—զめզめː—զめ—զːզめզ—զ—զːզ‐զ‐զaզ—ːզ‐զːaզめզaզaզ‐զ‐զめզ‐զ‐զːզ‐զ‐ːզ‐aզ‐զ‐զa=β~β=β', '~ː—‐զ‐զ‐a‐զ‐a‐զ‐զ‐ːզaզ*զaզː—զ—ːaզːaզ‐զ*aզ—ː—aզːզːզːզめզ‐զaiaia', '~—‐զ‐զ‐զ‐զ‐զめ‐զːզ—ː—զ—aզːզaզ‐զ—զめզ—զa‐めզ‐զ—ːզ—ːզめ*めզ‐զめզめզ—զːզ‐զaզめզめզ‐զめզ‐զ—զːզ‐զ—զ‐զ‐զめa青β~β', '~զ‐զ‐զ‐զ‐め‐զaզaզ‐めզ*—=զめզ—զめզ‐զ‐զ—ːզ‐զめզめզ‐զ—զめզめզめզめզ‐զ—զːզːզ厳զ=‐զめ—めզめզめզめզめզːզめːզ‐զ—めːզ‐զ‐զめզ—զめ‐զめզ‐めզめ‐め‐զ‐—ψiまиi', 'ψaːզ—զ—զ—զめզ‐զ—զ—զ—‐զ‐—զ—ːզ‐զ‐զaզ—aզːզːզ—զːaզːզ—զaզ—զ—զːզ—め—զ—զ‐զ‐զ‐զ—զ—զ—զ‐めզ—iまiまя=i=', '~‐めզːզ‐めզ‐զ‐զ‐զ‐め‐զめզめզ‐めզːզ‐զ‐めզ‐め—aզ‐զめզ‐*զ‐զ‐զ‐*‐=‐aめ=զ‐զ‐=青βEiβ', '~զ‐զ‐զ‐զaզ‐զ‐զ‐զaզa—զ—զːզaզ—զaզ*զ—զ*զ—զaզめզ‐զ‐զ‐զː—զːզ=', 'ψզめզ‐զ‐զ‐զ‐զ‐զ‐զめզ‐զめզːզːզ—զめզ*զː—զめզめզ—զ‐զめզめզ*‐め‐զ‐=i~i~a', '~‐զ‐զ‐զ‐め‐զ‐զ‐զ‐զ‐めզめ‐զ‐զ‐զめզめզめ‐զ‐զめզめզ‐զめզ—զめզ‐զめ‐զ‐զめզːめ‐զ‐զめզ‐զ‐զ‐զ‐զめզめզ‐めզ‐զ‐զめզめ‐めզ‐զ‐զ‐զ—‐զめ‐め‐め‐め‐め‐~i', '~‐զ‐め‐զ‐զ‐զ‐めզ‐զːզ‐զめզ‐զ‐զːa‐—զ—զめզ*զ‐զːզめզめզ‐զ‐めզ‐ː‐զːզ‐め‐զめ‐զめ‐=›i›~›i~ま~', '~‐զ‐զ‐め‐め‐զ‐զ‐զ‐めզ‐զめզめզ‐զ‐め‐զ‐զ‐զめզめ‐զ‐զ‐զ—զ‐զaզ‐զ‐զ‐զ‐めզ—‐զ‐զ‐զめզ‐զ‐զめզめզ‐め‐զ‐զ—め—‐զ‐զめզː‐զ‐զめ‐め‐aiβiβiβiβiβまa', '~‐めզ‐զ‐め‐զ‐զ‐զめզめ‐զ‐զ‐զ—զ‐め‐զ‐զ‐զ‐զ‐զめզ‐զ‐զ*め‐զめզめզaզめզaզ‐զa‐զ‐ː‐զ‐զ‐զ‐=β~β=β~', '~ːa—ːめզ‐め‐め‐め‐—‐め‐զaめ—զ‐め‐め‐め‐め‐զ‐めːզ‐զːզ—aզ‐զː*—զaզːզːզ—aː—զ‐զ=яøβ=β=β', '~aզめզ—ː‐め‐a‐め‐め‐め‐め‐め‐め‐め‐め‐—‐զ‐զː—aːզめզめզめզ—aզめզ‐զ—ːզ‐զ‐զ‐զːզめզ—aզめ—զːaː‐զ—զ‐զめզめզ‐め‐め‐ːaめːaզめզ—զːզ‐=iβiᆨβя.иa.яβ', 'ψ‐զ‐զ‐め‐զ‐—զːզ‐զ‐զ‐զ*aզ‐め—めզaːզ‐զ‐զ‐զ‐めզː‐զ‐—զ‐զ‐զ‐զ‐զ‐ːզ‐զ‐զめ—ːզ‐զ‐զ‐զめզ—aզ‐ː‐զː—ːզ‐զːզ‐զː‐զ‐ːզ‐—զ‐め‐=ββ=β', '=զめզめզː‐զ—զめզめզːզːզːaզめa—զ‐զ—لaզ—զ—aզːզː—ːզめaːզ—ːզːզ*զːaզめզ‐զめզ—ːզめ—‐め‐a—ːզ—զめː‐め‐a‐զa~β~β', '~‐զ‐զ‐めզ‐め‐め‐a‐զめզ‐զ‐զ‐զ‐զ—զ—զめզːզ‐զ‐զːզ—ː—ːզめզ—զːզ—ːզ‐զ‐զ—զ‐զ‐զめː—զめզ‐զ—զ‐զ‐զ‐զめզːզːզ‐զ‐զ‐め—ː—զ‐զ‐զめզ—ːզ‐զːզː—զː—զめզ‐aβ~まaまяEβ', '~զaզめզːզめզːզ‐զめ—զaզめզ‐զːզめզ—զ‐զ‐զ—զːaզːզːզめզめզːզːզ—զ‐め‐զめa青β~β~β', '~‐զ‐զめզ*զ‐զ‐զ‐めզめզa‐めզ‐めզ‐ː‐զ‐զ‐ːզめզ‐めզ‐զ‐զ‐ːզ‐զめ‐めզ‐զ‐զ‐զめզめզめզめզ‐զ‐զ‐զめզ‐զめզ‐զ‐め‐զ‐め‐ل‐め‐զ‐զ‐=i', '~‐ː‐զ‐a‐ːզ‐զめ—զめզめ‐զ‐զ‐զ—զ‐զ‐զːզ‐զ—զ‐զ‐զːզ‐զ‐զaզ—զ‐զaզ—զ‐զ‐—ːզ‐զ‐զ‐զ‐a青~=', '~‐զめ‐め‐め‐զ‐զ‐めզ‐զ‐զめ‐զめ‐め‐զめ‐めզ‐զめզ‐զ‐めզめ‐զ‐զ‐զめզめ‐զ‐めզ‐զめ‐զ‐զ‐զ‐めզ‐めզめ‐めզ‐めզめ‐զめզめզめ‐めզ‐め‐զ‐めզめ‐զ‐զ‐զ‐զ‐めզめ‐め‐め‐めզ‐め‐զめզ‐զ‐զ‐զ‐め‐զ‐め‐զ‐め‐—β~βиi', '~*ː—=զめզ*զめզaզ—զめզ—զ*զaզ—զːզめզːめːզめզめզめ*զaːaզめզ*զːզめզめզめզːaզめզめզめզめզめզaզ=i~', 'ψզ—ːզ—զ‐զ‐め‐զ‐զめզ*զ‐զ‐զ‐զ‐めզ‐զ‐aզ‐զ‐զ‐զ—ːզːզːզː—զ—զ—զːզめզː—զːզ‐զ‐≥i~β~яまяя=я=яβ', '~ː—めզめզめ‐めզめզめզめզめզ—a—aզめզaզ*զ*զaզaզ—ː—զaզ—a—aめզめզaː*զめզめ—ːa*aզ—զ—զ—զめզめːզめaめզaᆨяi~яaяa~a~', 'ψ‐—զ—‐ːզ—զめզめզ—ːզ‐զ‐めզ‐զ‐զ—a—a—զ‐զ—ːզ—զめզ‐めզめ=i=まa', '~զː‐զ‐a‐զ‐զ‐զ‐զ‐զめզ‐ːզ‐զ‐զ‐զ‐զːզː—aզːaզːզ—ːզ‐զːa—զ‐զ—զaզ‐զːզ‐զ=β~β', 'βː‐զ=‐զめզめզめզ‐めզめզめ—զめզめզめ—զː—զめզめ‐զ‐めզめզめզめզめզ‐めզ—զめզめaめ‐め—զaめ—զめ—めզめզ‐めզめզめ—ː‐զめ—めզめ—զめզ—զ—զめզめ—զめ—ψiβiβ', '~ːզaːめaզ‐զ‐զ‐め‐め‐め‐め‐a‐զːզめ‐めզ‐զːaզめ—aզː*aզめզめզ—ːզaզめզː—զːզːզ—զ—զ—զめզ‐զ‐ː—ːզめ‐զ‐aiβiEи=иaиa', 'ψːզめ‐ːa—զ—զ‐զ‐զ‐aզ‐—めզ‐զ‐զめːզːզめզːզめːզːզ‐զ—ː—զːզ—զːզːզ—զːզːզaզːզめզ‐զaめզːզ‐め‐զ‐a青βя=β', '~—ːզ‐զ‐զ—めզːզːզ—զaզa—めզaզaզ=β~a=', '~ːզ‐めզ‐a‐—զ‐զ—ːզ‐զ—aզa—զめզ—զaզ—զ‐զ—aːզめզ—զめզめզ—զめզ*—զ—aːզ‐զめ*զ—զːaː‐զめզ‐めզめզ‐めa‐զa~', '~‐զ‐զ‐զ‐զ‐զa‐*զ‐զ‐զ‐めa—զ‐զ‐զː—զめզa—զめզ‐めզめզめզ‐めզːզめզ‐զめզ‐めզː—զːaզːզ‐զ‐ːզːզめզめզ—զめ—‐զ‐զ—øiиiиま', '~զめզ—めզ‐զ‐զː‐զaզ‐զ‐զ‐զめզ—‐զːզ‐զめզa—զaːզaզːզː—զ‐զa—զːaզ‐զめːզ‐զ—զː‐զ‐զ—ːզːզ=βቀ']
+{'eval_loss': 20.994997024536133, 'eval_wer': 1.0, 'eval_runtime': 2.8273, 'eval_samples_per_second': 21.222, 'eval_steps_per_second': 0.354, 'epoch': 0.31}
+
+
+
+
+ 14%|████████████████████████▎ | 9/64 [00:34<03:10, 3.46s/it]
+ 16%|██████████████████████████▉ | 10/64 [00:40<03:34, 3.98s/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 = 60
+ Batch size = 64
+['~զ‐զ‐a‐め‐զ‐զ‐めզ‐めզ‐զ‐め‐めզめ‐めզ‐զ‐զ‐զめզ‐め‐զ‐զ‐զ—զ‐զːめզ‐զめ‐զ‐զ‐ːめզめ‐զ‐զ‐め~青βまиi=', '~զːզ—զaզa*զaզaզːզːզ—զaզ—զ—ːզaզː—զ—զ=~β~β=ま=まиaզa', '~‐զ‐զːզめզめ‐զːզaզ—զ‐զːզːզ—զaզ—‐զ‐զ—զ‐զ‐զ‐զ‐զ‐զ‐—‐—iиまи', 'ψ‐ː‐զ‐—‐զ‐め‐զ‐め—զa—զめզめզ‐զ‐զ‐զめզ‐զ‐զ‐զめզ—զ‐զめ—զ—զめզ—めːզめզ—զːaզaզ‐զ‐めզ‐զめզめզめ‐զめ‐め‐め‐め‐め‐=ᆨiま=ま', 'ψaզ‐զ‐զ‐a‐զːզ‐զ‐զːզ—զ‐զ‐զ‐զ—aզ‐めզːaːaզめaզ‐զːզːզ‐զめզ—ː—զ甌‐めզめզ‐*զ‐զ‐aզ‐զ‐զ‐a~β~β~E~E=', 'ψːզːզ‐զ‐զめ—զ‐め‐ːզ‐զ‐զ*զːզ‐զ‐զaզ*զ—ːզ‐զaզ*զaːզːզːզːզ‐զːզめզ‐զ‐めզːզ‐զめզ‐զ=iᆨ~βᆨβᆨβまβ=', 'β‐զめզめզ‐զ—զ—զ—զ‐զ‐զ—ːզ‐զめզ‐զ—զːզːզ‐զ‐զめ‐զ‐—զ—զめ‐զめզ‐զめ‐めզめ‐զ‐め‐め‐զめզ‐զ‐զːզ‐めզめզ‐զ—զ‐զめ‐զ‐aiиiиま', '~‐զ‐զ‐զ‐զ‐a‐զ‐めզめզ‐զめːզ‐զ‐めզ‐զめզ‐զ‐զːզ‐զめզ‐զ—ːզ‐զ‐զ—զ‐զ‐զめզ‐め‐め‐զ‐a‐aզ‐a‐a‐=β~β', '~զめaиaզ—めզめզめզめզめզめզめզめզめ—めզ—ːaզめզめզːaզめ—めզめզめզめզめզ—め—めզめզːaզめ—զめզめզめ—ːզめզめզめզめզめːaզめզ—a—զめզめզめզめզめզめզめզめզめզめզめզ—めզめզめզめaᆨиβ', '~‐ːզめզ—զ‐ːզめ‐め‐め‐и‐զ‐め—ːզ‐զ‐զ‐զ‐զːզaզa—զめզ‐զ‐զ—զめզめզa‐զ‐զめզ‐めզ—զめզめզ‐ːめզ‐զ‐զめզめ—め‐զめːզ‐—めզめզ‐զ‐զːզ‐めզめզ‐զ‐զ‐զ‐めզめ‐め‐զ‐զ‐めզaめ*めզめ‐めզめզ‐=iEiቀまቀま甌β', '~‐զ‐զめզ‐զめզめզ‐めː—aզ*ːզ‐զ‐զめզ‐めզ‐めզめզː—ːզːaզめզめզめզめզめːզ‐めզめ—զ‐զ‐զaզ*զ‐զ‐め‐զ‐զ‐զめզː‐զ—ːզ‐զ‐զめզːզ‐զ‐զ‐զ‐զ‐զ‐զːめզめզめզめզ=զめ‐めզめ‐め‐զめզめ‐զ‐めզめզ‐զ‐=i~i~i~', 'ψզ‐a—զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐め‐զ‐զ‐զめ‐զ‐め‐*‐զ‐զ‐զ‐զ—ːզ‐զ‐զ—զめզめզ‐զめ‐め‐զめզめզːզめզːaզːめզめզ‐զ‐—‐め‐め‐—զめ‐め‐զ‐զ‐め‐め‐զ‐—‐զ‐ː‐զ—զːզ‐զ‐զ‐=iиiиi甌i甌β', '~‐и‐զ‐a‐め‐*զ‐*‐めզ甌զめզ‐*զ‐զ‐զ‐զ*めզ‐զ*‐甌‐զ‐զ—զ*զ‐զ‐զ‐զ*զ‐զ*զ‐զめզめզめզめզ‐զめզめզ‐めզめզ‐զ‐զ*զめզめզ—‐զ‐զ‐զ‐—զ‐զめզめզ*‐զめզ‐զ‐*‐զ‐めզ‐զ‐*‐め‐*‐め‐め‐め‐め‐め‐—‐ː‐զ—‐甌‐め‐め‐aiτi', '~‐—‐—‐զ‐զ‐զ‐ː‐めզːզめզめզ—զ‐զ‐զ—զ—ː—զめզめզ‐զːզːզ‐զːզめ‐զːզ‐զ‐զːめզːզめզ—զːզːզめ‐めզ‐զːめːզめզめ—զめզ‐զ‐զ‐զ‐զ—զːզːզ‐ː—‐զ‐զ‐aզ‐aiβ~まaまиiβ', '~‐ːզめզめզ‐զa*զ—aզːզːզ—զaːaːզめզ—զa—aզːaզ—aːզːզːզ—զːզːզ‐զa青β~青まaи=', '~a—めaզ‐aզ‐զ‐զめզ‐a‐զ‐զaզaːզːզ‐զːզ‐めզːզ‐զaզaզa‐զːզ—զ‐զ‐զ*զ‐զ—զめզめզaզ‐ːզaːaզ‐a=~и', '~=ːaզ‐զ‐զ‐—‐զ‐a‐a‐զ‐զ‐—զaզaզ‐զ—զaզ—զ‐զː—զ—զめ‐—‐զ*զ—‐զaզː—զ‐զ‐զ‐զ—aզː—զ‐զ‐զː—զ‐զ‐=iβ~βまи=и=', '~զaզめզ‐զ‐զ‐զ‐զ‐զ—զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐aզaզaզaզ—aզ‐զː—զ—զ‐զ‐զː—զa—զ‐զ—զ—զːaզ—զめզaզː—զːզː—զ‐զ‐զːզめզ‐զa=β~βቀ=', 'ψː—զめզ—զ*զaզ‐զ*‐զ‐զːզaզ—aզaզめզめզめզめ—զaզa—զめ‐զ*զ‐զ*զめզaզ‐զ‐զめզaզːզ~яиβия', 'ψːզ—aզめզ‐զː‐aզːaզ—aː—զ—զːզːզめզaզa—ːզ*—aզ—ːզめ‐զ‐aզ‐զ‐a‐め‐զːզめզ‐զ‐ːզːզ‐զ‐զ‐զaզː‐—զ‐զ‐ːզ‐զ‐aզめզ‐զ‐զaզ‐զ‐ː—ːզめզaզ‐զ≥›βEиaи=ቀ', '~զ‐め‐めզ‐զaզめզ*զ—զめզːaːaզ—զめզ—ːaզːզaզaզ—զːզ‐զ—ːզːզaզめզめզめa‐զめզ‐զめ~青~ββ', 'ψզ—‐め‐զ‐め‐զ‐め‐զːզaզ—զ‐զːզめզ‐զ—զ‐զ‐զめ‐めզ*—ːզ‐め—զːզː—զ‐զ—զ—め—զːզめ‐め‐զ‐զめ*—aզːզːզ‐զːզː—զめːզ—զːզ‐—‐ːզめզ—զ—զ—ːզːզ—զ—զ‐め‐—զめզめ‐զ‐a‐め‐め‐զ‐めզ‐զ‐զ‐≥青~', '~aզaːզa—a—aզめզめզ—aզaզːզːզa—ːaːaզ*—aːaզaզːզaզ—aːզː—ːզ~=β~β~β~β~β', 'β‐—‐զ‐զ‐զ‐զ‐զ‐զ‐զめզ‐զ‐զ‐զ‐զめ‐զ—զaզめ‐զ—a—めզ‐めզ‐զめզめզaզ‐զ‐զ‐めզ‐զ‐めզ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐aᆨiиiиまi', '~զːaզaզ—a—aզaզːզa—aːaզ—ːզ—զ*—զ—ːaզaզaզːaːaզaː—aզ=~β~β~', '~զ‐զ—ːզ—զめզ‐զaզ—զːaզːզ—զːզ—զː*—զːզ—զaզaզːզaզ—զ‐զːզ‐զa—ː*ːaզ—զ—զːզaːaզ‐զ—զめզːզ‐զ=‐զa=β=~=β=β', '~め‐զめиめզめ‐めզめզめզめaめզ‐զめa—զa—զめզめզلaզめa—զめa—զめaզめզめզめզ—զaզ—めզ—զめզめզ—զめզ—զ—զiи~β', '~զ‐զ‐զめ‐զめ‐—‐զ‐զ‐զ—զ‐զ‐զ—զめզめզ—զ—զa‐զ‐զ‐զ‐զ‐զめզ‐զ—զめզめː—զめ—զːզめզ—զ—զːզ‐զ‐զːaզ—ːզ‐զːaզめզaզaզ‐զ‐զめզ‐զ‐զːզ‐զ‐ːզ‐aզ‐զ‐զ‐զa=β~β=β', '~ː—‐զ‐զ‐a‐զ‐զ‐a‐զ‐զ‐ːզaզ*զaզː—զ—aզːaզ‐զ*aզ—ː—aզːզːզːզめզ‐զaiaia', '~—զ‐զ‐զ‐զ‐զめ‐զːզ—ː—զ—aզaզ—զめզ—զa‐めզ‐զ—ːզ—ːզめ*めզ‐զめզめզ—զːզ‐զaզめզめզ‐զめզ‐զ—զːզ‐զ—զ‐զ‐զめa青β~β', '~զ‐զ‐զ‐զ‐め‐զaզaզ‐めզ*—=զめզ—զめզ‐զ‐զ—ːզ‐զめզめզ‐զ—զめզめզめզめզ‐զ—զːզːզ厳զ=‐զめ—めզめզめզめզめզːզめːզ‐զ—めːզ‐զ‐զめզ—զめ‐զめզ‐めզめ‐め‐զ‐—ψiまиi', 'ψaːզ—զ—զ—զめզ‐զ—զ—‐զ‐—զ—զːզ‐զ‐զaզ—aզːզːզ—զːaզːզ—զaզ—զ—զːզ—め—զ—զ‐զ‐զ‐զ—զ—զ—զ‐めզ—iまiま=i=', '~‐めզːզ‐めզ‐զ‐զ‐զ‐め‐զめզめզ‐めզːզ‐զ‐めզ‐め—aզ‐զめզ‐*զ‐զ‐զ‐*‐=‐aめ=զ‐զ‐=青βEiβ', '~զ‐զ‐զ‐զaզ‐զ‐զ‐զa—aզa—զ—զːզaզ—զaզ*զ—զ*զ—զaզめզ‐զ‐զめզ‐զː—զːզ=', 'ψզめզ‐զ‐զ‐զ‐զ‐զ‐զめզ‐զめզːզːզ—զめզ*զː—զめզめզ—զ‐զめզめզ*‐め‐զ‐=i~i~a', '~‐զ‐զ‐զ‐め‐զ‐զ‐զ‐զ‐めզめ‐զ‐զ‐զめզめզめ‐զ‐զめզ‐めզ‐զめզ—զめզ‐զめ‐զ‐զめզːめ‐զ‐զめզ‐զ‐զ‐զめզめզ‐めզ‐զ‐զめզめ‐めզ‐զ‐զ‐զ—‐զめ‐め‐め‐め‐め‐~i', '~‐զ‐め‐զ‐զ‐զ‐めզ‐զːզ‐զめզ‐զ‐զːa‐—զ—զめզ*զ‐զːզめզめզ‐զ‐めզ‐ː‐զːզ‐め‐զめ‐զめ‐=›i›~›i~ま~', '~‐զ‐զ‐め‐め‐զ‐զ‐զ‐めզ‐զめզめզ‐զ‐め‐զ‐զ‐զめզめ‐զ‐զ‐զ‐զ—զ‐զaզ‐զ‐զ‐զ‐めզ—‐զ‐զ‐զめզ‐զ‐զめզめզ‐め‐զ‐զ—め—‐զ‐զめզː‐զ‐զめ‐め‐aiβiβiβiβiβまa', '~‐めզ‐զ‐め‐զ‐զ‐զめզめ‐զ‐զ‐զ—զ‐զ‐զ‐զ‐զ‐զめզ‐զ‐զ*め‐զめզめզaզめզaզ‐զa‐զ‐ː‐զ‐զ‐=β~β=β~', '~ːa—ːめ‐め‐め‐め‐—‐め‐զaめ—զ‐め‐め‐め‐め‐զ‐めːզ‐զːզ—aզ‐զː*—զaզːզːզ—aː—զ‐զ=яøβ=β=β', '~aզめ—զ—ː‐a‐め‐め‐め‐め‐め‐め‐め‐め‐—‐զ‐զː—aːզめզめզめզめզ—aզめզ‐զ—ːզ‐զ‐զ‐զːզめզ—aզめ—զːaː‐զ—զ‐զめզめզ‐め‐め‐ːaめːaզめզ—զːզ‐=iβiᆨβя.иa.яβ', 'ψ‐զ‐զ‐め‐զ‐—զːզ‐զ‐զ‐զ—aզ‐め—めզaːզ‐զ‐զ‐զ‐—զː‐զ‐—զ‐զ‐զめզ‐զ‐զ‐ːզ‐զ—ːզ‐զ‐զ‐զめզ—aզ‐ː‐զめզː—ːզ‐զːզ‐զː‐ːզ‐—զ‐めa‐=ββ=β', '=զめզː‐զ—զめզめզːզːզːaզめː—զ‐զ—لaզ—զ—aզːզː—ːզめaːզ—ːզːզːզめːaզめզ‐զめզ—ːզめ—‐め‐a—ːզ—զめː‐め‐զ‐a‐զa~β~β', '~‐զ‐զ‐めզ‐め‐め‐a‐զめզ‐զ‐զ‐զ‐զ—զ—զめզːզ‐զ‐զːզ—ː—ːզめզ—զːզ—ːզ‐զ‐զ—զ‐զ‐զめː—զめզ‐զ—զ‐զ‐զ‐զめզːզːզ‐զ‐զ‐めզː—զ‐զ‐զめզ—ːզ‐զːզː—զː—զめզ‐a青β~まaまEяEβ', '~զaզめզːզめզːզ‐զめ—aզめզ‐զːզめզ—զ‐զ‐զ—զːaզːզːզめզめզːզːզ—զ‐めզ‐զめa青β~β~β', '~‐զ‐զめզ*զ‐զ‐զ‐めզめզa‐めզ‐めզ‐ː‐զ‐զ‐ːզめզ‐めզ‐զ‐զ‐ːզ‐զめ‐めզめզ‐զ‐զめզめզめզめզ‐զ‐զ‐զめզ‐զめզ‐զ‐め‐զ‐め‐ل‐め‐զ‐զ‐=i', '~‐ː‐զ‐a‐ːզ‐զめ—զめզめ‐զ‐զ‐めզ—զ‐զ‐զːզ‐զ—զ‐զ‐զːզ‐զ‐զaզ—զ‐զaզ—զ‐զ‐—ːզ‐զ‐զ‐զ‐a青~=', '~‐զめ‐め‐め‐զ‐զ‐めզ‐զ‐զめ‐զめ‐め‐զめզ‐めզ‐զめզ‐զ‐めզめ‐զ‐զ‐զめզめ‐զ‐めզ‐զめ‐զ‐զ‐զ‐めզ‐めզめ‐めզ‐めզめ‐զめզめզ‐զめզめ‐めզ‐め‐զ‐めզめ‐զ‐զ‐զ‐զ‐めզめ‐め‐め‐めզ‐め‐զめզ‐զ‐զ‐զ‐め‐զ‐め‐զ‐め‐—β~βиi', '~*ː—=զめզ*զめզaզ—զめզ—զ*զaզ—զːզめզːめːզめզめզめզめ*զaːaզめզ*զːզめզめզめզːaզめզめզめզめզめզaզ=i~', 'ψզ—ːզ—զ‐զ‐め‐զ‐զめզ*զ‐զ‐զ‐զ‐めզ‐զ‐aզ‐զ‐զ‐զ—ːզːզːզːզ—զ—զːզめզː—զːզ‐≥i~β~まяя=я=я=яβ', '~ː—めզめզめզめզめզめզめզ—a—aզめզaզ*զ*զaզaզ—ː—զaզa—aめզめզaː*զめզめ—ːa*aզ—զ—զ—զめզめːզめaめզaᆨяi~яaまa~a~', 'ψ‐—զ—‐ːզ—զめզめզ—ːզ‐զ‐めզめզ‐զ‐զ—a—a—զ‐զ—ːզ—զめզ‐めզめ=i=まa', '~զː‐զ‐a‐զ‐զ‐զ‐զ‐զめզ‐ːզ‐զ‐զ‐զ‐զːզː—aզːaզːզ—ːaզ‐զːa—զ‐զ—զaզ‐զ‐զ=β~β', 'βː‐զ=‐զめզめզめզ‐めզめզめզめզめ—զːզめզめ‐զ‐めզめզめզめզめզ‐めզ—զめզめaめ‐め—զaめ—զめ—めզめզ‐めզめզめ—ː‐զめ—めզめ—զめզ—զ—զめզめ—զめ—ψiβiβ', '~ːզaːめaզ‐զ‐զ‐め‐め‐め‐a‐զːզめ‐めզ‐զːaզめ—aզː*aզめզめզ—ːզaզめզː—զːզːզ—զ—զ—զめզ‐զ‐ː—ːզめ‐զ‐aiβiEиaиa', 'ψːզめ‐ːa—զ‐զ‐զ‐aզ‐—めզ‐զ‐զめːզːզめզːզめːզːզ‐զ—ː—զːզ—զːզːզ—զːզːզaզːզめզ‐զaめզːզ‐め‐զ‐զ‐a青βя=β', '~—ːզ‐զ‐զ—めզːզːզ—զaզa—զaզaզ=β~a=', '~ːզ‐զ‐めզ‐a‐—զ‐զ—ːզ‐զ—aզa—զめզ—զaզ—զ‐զ—aːզめզ—զめզめզ—զめզ*—զ—aːզ‐զめ*զ—զːaː‐զめզ‐めզめզ‐めa‐զa~', '~‐զ‐զ‐զ‐զ‐զa‐*զ‐զ‐զ‐めa—զ‐զ‐զː—զめզa—զめզ‐めզめզめզ‐めզːզめզ‐զめզ‐զː—զːaզːզ‐զ‐ːզːզめզめզ—զめ—‐զ‐զ—øiиiиま', '~զめզ—めզ‐զ‐զː‐զaզ‐զ‐զめզ—‐զːզ‐զめզa—զaզaզːզː—զ‐զa—զːaզ‐զめːզ‐զ—զ‐զ‐զ—ːզːզ=βቀ']
+{'eval_loss': 20.991931915283203, 'eval_wer': 1.0, 'eval_runtime': 2.7507, 'eval_samples_per_second': 21.812, 'eval_steps_per_second': 0.364, 'epoch': 0.62}
+
+
+
+
+ 22%|█████████████████████████████████████▋ | 14/64 [00:56<03:19, 3.99s/it]
+ 23%|████████████████████████████████████████▎ | 15/64 [00:59<02:48, 3.43s/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 = 60
+ Batch size = 64
+
+
+
+
+ 30%|███████████████████████████████████████████████████ | 19/64 [01:16<02:46, 3.69s/it]
+['~զ‐զ‐a‐め‐զ‐զ‐めզ‐め‐զ‐め‐めզめ‐めզ‐զ‐զ‐զめզ‐め‐զ‐զ‐զ—զ‐զːめզ‐զめ‐զ‐զ‐ːめզ‐զ‐զ‐め~青βまиi=', '~զːզ—զaզa*զaզaզːզːզ—զaզ—զ—ːզaզː—զ—զ=~β~β=ま=まиaզa', '~‐զ‐զːզめզめ‐զːզ‐զaզ—զ‐めզːզːզ—զaզ—‐զ‐զ—զ‐զ‐զ‐զ‐զ‐զ‐—‐—iиまи', 'ψ‐ː‐զ‐—‐զ‐め‐զ‐—զa—զめզめզ‐զ‐զ‐զ‐զめզ‐զ‐զ‐զ‐զめզ—զ‐զめ—զ—զめզ—めːզめզ—զːaզaզ‐զːզ‐め‐զめզめզめ‐զめ‐め‐め‐め‐め‐=ᆨiま=ま', 'ψaզ‐զ‐զ‐a‐զːզ‐զ‐զːզ—զ‐զ‐զ‐զ—aզ‐զːaːaզめaզ‐զːզːզ‐զめզ—ː—զ甌‐めզめզ‐*զ‐a‐aզ‐զ‐զ‐a~β~β~E~E=', 'ψːզːզ‐զ‐զめ—զ‐ːզ‐զ‐զ*զːզ‐զ‐զaզ*զ—ːզ‐զaզ*զaːզːզːզːզ‐զːզめզ‐զ‐զːզ‐զめզ‐զ=iᆨβ~βᆨβᆨβ=', 'β‐զめզめզ‐զ—զ—զ—զ‐զ‐զ—ːզ‐զめզ‐զ—զːզːզ‐զ‐զめ‐զ‐—զ—զめզめզ‐զめ‐めզめ‐զ‐め‐め‐զめզ‐զ‐զ‐めզめզ‐զ—զ‐զめ‐զ‐aiиiиまиま', '~‐զ‐զ‐զ‐զ‐a‐զ‐め‐զめզ‐めզめːզ‐զ‐めզ‐զめզ‐զ‐զːզ‐զめզ‐զ—ːզ‐զ‐զ—զ‐զ‐զ‐զめզ‐め‐め‐զ‐a‐aզ‐a‐a‐=β~β', '~զめaиaզめզめզめզめզめզめզめզめզめ—めզ—aզめզめզːaզめ—めզめզめզめզめզ—め—めզめզːaզめ—զめզめզめ—ːզめզめզめզめզめaզめզめզ—a—զめզめզめզめզめզめզめզめզめզめզめզめզめզめզ—めզめզめզめaᆨиβ', '~‐ːզめզ—զ‐ːզめ‐め‐め‐и‐զ‐め—ːզ‐զ‐զ‐զ‐զːզaզa—զめզ‐զ—զめզめզa‐զ‐զめզ‐めզ—զめզ‐զめզ‐ːめզ‐զ‐զめզめզめ—め‐զめːզ‐—めզめզ‐զ‐զːզ‐めզめզ‐զ‐զ‐զ‐զ‐めզめ‐め‐զ‐զ‐զめզaめ*めզめ‐めզめզ‐=iEiቀま甌ま甌β', '~‐զ‐զめզ‐զめզめզ‐めː—aզ*ːզ‐զ‐զめզ‐めզ‐めզめզː—ːզːaզめզ‐զめզめզめːզ‐めզめ—զ‐զ‐զaզ*զ‐զ‐め‐めզ‐զ‐զめզː‐զ—ːզ‐զ‐զめզːզ‐զ‐զめ‐զ‐զ‐զ‐զːめզめզめզめզ=զめ‐めզめ‐め‐զめզめ‐զ‐めզめզ‐զ‐=i~i~i~', 'ψզ‐a—զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐め‐զ‐զ‐め‐զめ‐զ‐め‐*‐զ‐զ‐զ‐զ—ːզ‐զ‐զ—զめզめզ‐զめ‐め‐զめզめզːզめզːaզːめզめզ‐զ‐—‐め‐め‐—զめ‐め‐զ‐め‐め‐զ‐—‐ː‐զ—զːզ‐զ‐զ‐=iиiиi甌i甌β', '~‐и‐զ‐a‐め‐*զ‐*‐めզ甌զめզ‐*զ‐զ‐զ‐զ‐*めզ‐զ*‐甌‐զ‐զ—զ*զ‐զ‐զ‐զ*զ‐զ*զ‐զめզめզめզめզ‐զめզめզ‐めզめզ‐զ‐զ*զめզめզ—‐զ‐զ‐զ‐—զ‐զめզめզ*‐զめզめզ‐*‐զ‐めզ‐զ‐*‐め‐*‐め‐め‐め‐め‐め‐—‐ː‐զ—‐*‐め‐め‐aiτi', '~‐—‐—‐զ‐զ‐զ‐ː‐めզːզめզめզ—զ‐զ‐զ—զ—ː—զめզめզ‐զめզːզːզ‐めզːզめ‐զ‐զːզ‐զ‐զːめզːめզめզ—զːզːզめ‐めզ‐զːめːզめզめ—զめզ‐զ‐զ‐զ‐զ—զːզːզ‐զ‐ː—‐զ‐զ‐a‐զ‐aiβ~βまaまиiβ', '~‐ːզめզめզ‐զaզ—aզːզːզ—զaːaːզめզ—զa—aզaːaզ—aːզːզːզ—զːզːզ‐զa青β~青まaи=', '~a—めaզ‐aզ‐զ‐զめզ‐a‐զ‐զaզaːզːզ‐զːզ‐めզːզ‐զaզ‐զaզa‐զːզ—զ‐զ‐զ*զ‐զ—զめզめզaզ‐ːզaːaզ‐a=~~и', '~=ːaզ‐զ‐զ‐զ‐a‐a‐զ‐զ‐—զめaզaզ‐զ—զaզ—զ‐զː—զ—զめ‐—‐զ*ːզː‐զaզː—զめզ‐զ‐զ‐զ—aզː—զ‐զ‐զ‐զː—զ‐զ‐=iβ~βまи=и=', '~զaզめզ‐զ‐զ‐զ‐զ‐զ—զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐aզaզaզaզ—aզ‐զː—զ‐զ—զ‐զ‐զ‐զː—զa—զ‐զ—զ—զ‐զːaզ—զめզaզː—զːզː—զ‐զ‐զːզめզ‐զa=β~βቀ=', 'ψː—զめզ—զ*զaզ‐զ*‐զ‐զːզaզ—aզaզめզめզめզめ—զaզa—զめ‐զ*զ‐զ*զめզaզ‐զ‐զめզaզːզ~яиβия', 'ψːզ—aզめզ‐զː‐aզaզ—aː—զ—զːզːզめզaզa—ːզ*—aզ—ːզめ‐զ‐aզ‐զ‐ː‐め‐զːզめզ‐զ‐ːզːզ‐զ‐զ‐զaզː‐—զ‐զ‐ːզ‐զ‐aզめզ‐զ‐զaզ‐զ‐ː—ːզめզaզ‐զ≥›βEиaи=ቀ', '~զ‐め‐めզ‐զaզめզ*զ—զめզːaːaզ—զめզ—ːaզːզaզaզ—զːզ‐զ—ːզːզaզめզめզめa‐զめզ‐զめ~青~ββ', 'ψզ—‐め‐զ‐め‐զ‐め‐զːզaզ—զ‐զːզめզ‐զ—զ‐め‐զめ‐めզ*—ːզ‐め—զːզː—զ‐զ—զ—め—զːզめ‐め‐զ‐զめ*—aզːզːզ‐զːզː—զめզめːզ—զːզ‐—‐ːզめզ—զ—զ—ːզːզ—զ‐め‐—զめզめ‐զ‐a‐め‐め‐զ‐め‐զ‐զ‐≥青~', '~aզaːզa—a—aզめզめզ—aզaզːզːզa—ːaːaզ*—aːaզaզːզaզ—aːզː—ːզ~=β~β~β~β~β', 'β‐—‐զ‐զ‐զ‐զ‐զ‐զ‐めզ‐զ‐զ‐զ‐զめ‐զ—զaզめ‐զ—a—めզ‐めզ‐զめզめզaզ‐զ‐զ‐めզ‐զ‐めզ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐aᆨiиiиまi', '~զː—զaզ—a—aզaզːզa—aːaզ—ːզ—զ*—զ—ːaզaզaզːaːaզaː—aզ=~β~β~', '~զ‐զ—ːզ—զめզ‐զaզ—զːaզːզ—զːզ—զː*—զːզ—զaզaզːզaզ—զ‐զːզ‐զa—զː*ːaզ—զ—զːզaːaզ‐զ—զめզːզ‐զ=‐զa=β=~=β=β', '~め‐զめиめզめ‐めզめզめզめaめզ‐զめa—զa—զめզめզلaզめaզめa—զめaզめզめզめզ—զaզ—めզ—զめզめզ—զめզ—զ—զiи~β', '~զ‐զ‐զめ‐զめ‐—‐զ‐զ‐զ‐զ—a—զ‐զ‐զ—զめզめզ—զ—զa‐զ‐զ‐զ‐զ‐զめզ‐զ—զめզめː—զめ—զːզめզ—զ—զːզ‐զ‐զːaզ—ːզ‐զːaզ‐զめզaզaզ‐զ‐զめզ‐զ‐զːզ‐զ‐ːզ‐aզ‐զ‐զ‐զa=β~β=β', '~ː—‐զ‐զ‐a‐զ‐զ‐a‐զ‐զ‐ːզaզ*զaզː—զ—ːaզːaզ‐զ*aզ—ː—aզːզːզːզめզ‐զaiaia', '~—‐զ‐զ‐զ‐զ‐զめ‐զːզ—ː—զ—aզːզaզ—զめզ—զa‐めզ‐զ—ːզ—ːզめ*めզ‐զめզめզ—զːզ‐զaզめզめզ‐զめզ‐զ—զːզ‐զ—զ‐զ‐զめa青β~β', '~զ‐զ‐զ‐զ‐め‐զaզaզ‐めզ*—=զめզ—զめզ‐զ‐զ—ːզ‐զめզめզ‐զ—զめզめզめզめզ‐զ—զːզːզ厳զ=‐զめ—めզめզːզめզめզめզːզめːզ‐զ—めːզ‐զ‐զめ‐զ—զめ‐զめզ‐めզめ‐め‐զ‐—ψiまиiиi', 'ψaːզ—զ—զ—զめզ‐զ—զ—‐զ‐—զ—զːզ‐զ‐զaզ—aզːզːզ—զːaզːզ—զaզ—զ—զːզ—め—զ—զ‐զ‐զ‐զ—զ—զ—զ‐めզ—iまiま=я=i=', '~‐めզːզ‐めզ‐զ‐զ‐զ‐め‐զめզめզ‐めզːզ‐զ‐めզ‐め—aզ‐զめզ‐*զ‐զ‐զ‐*‐=‐aめ=զ‐զ‐=青βEiβ', '~զ‐զ‐զ‐aզ‐զ‐զ‐զaզa—զ—զːզaզ—զaզ*զ—զ*զ—զaզめզ‐զ‐զ‐զː—զːզ=', 'ψզめզ‐զ‐զ‐զ‐զ‐զ‐զめզ‐զめզːզːզ—զめզ*—ː—զめզめզ—զ‐զめզめզ*‐め‐զ‐=i~i~a', '~‐զ‐զ‐զ‐め‐զ‐զ‐զ‐զ‐めզめ‐զ‐զ‐զめզめզめ‐զ‐զめզ‐めզ‐զめզ—զめզ‐զめ‐զ‐զめզːめ‐զ‐զめզ‐զ‐զ‐զ‐զめզめզ‐めզ‐զ‐զめզめ‐めզ‐զ‐զ‐զ—‐զめ‐め‐め‐め‐め‐~i', '~‐զ‐め‐զ‐զ‐զ‐めզ‐զːզ‐զめզ‐զ‐զːa‐—զ—զめզ*զ‐զːզめզめզ‐զ‐めզ‐ː‐զːզ‐զめ‐զめ‐=›i›~›i~ま~', '~‐զ‐զ‐め‐め‐զ‐զ‐զ‐めզ‐զめզめզ‐զ‐め‐զ‐զ‐զめզめ‐զ‐զ‐զ—զ‐զaզめզ‐զ‐զ‐զ‐めզ—‐զ‐զ‐զめզ‐զ‐զめզめզ‐め‐զ‐զ—め—‐զ‐զめզː‐զ‐զめ‐め‐aiβiβiβiβiβまa', '~‐めզ‐զ‐め‐զ‐զ‐զめզめ‐めզ‐զ‐զ—զ‐զ‐զ‐զ‐զ‐զめզ‐զ‐զ*め‐զめզめզaզめզaզ‐զaզ‐զ‐ː‐զ‐զ‐=β~β=β~', '~ːa—ːめզ‐め‐め‐め‐—‐め‐զaめ—զ‐め‐め‐め‐め‐զめːզ‐զː—aզ‐զː*—զaզːզːզ—aː—զ‐զ=яøβ=β=β', '~aզめ—զ—ː‐め‐a‐め‐め‐め‐め‐め‐め‐め‐め‐—‐զ‐զː—aːզめզめզめզ—aզめզ‐զ—ːզ‐զ‐զ‐զːզめզ—aզめ—զːaː‐զ—զ‐զめզめզ‐め‐め‐ːaめːaզめզ—զːզ‐=iβiᆨβя.иa.яβ', 'ψ‐զ‐զ‐め‐զ‐—զːզ‐զ‐զ‐զ*aզ‐め—めզaːզ‐զ‐զ‐զ‐めզː‐զ‐—ːզ‐զ‐めզ‐զ‐ːզ‐զ‐զめ—ːզ‐զ‐զ‐զめզːaզ‐ː‐զː—ːզ‐զ‐զːզ‐զ‐ː‐ːզ‐—զ‐a‐=ββ=β', '=զめզめզː‐զ—զめզめզːզːզːaզめa—զ‐զ—لaզ—զ—aզめːզː—ːզめaːզ—ːզːզ*զːaզめզ‐զめզ—ːզめ—‐め‐a—ːզ—զめː‐め‐զ‐a‐զa~β~β', '~‐զ‐զ‐め‐め‐め‐a‐զ‐զめզ‐զ‐զ‐զ‐զ—զ—զめզːզ‐զ‐զːզːզ—ː—ːզめզ—զːզ—ːզ‐զ‐զ—զ‐զ‐զめː—զめզ‐զ—զ‐զ‐զめզːզːզ‐զ‐զ‐めզː—զ‐զ‐զめզ—ːզ‐զːզː—զː—զめզ‐aβ~まaまEяEβ', '~զaզめզːզめզːզ‐զめ—զaզめզ‐զːզめզːզ‐զ‐զaզːaզ‐զめːզːզめզめզːզめզːզ—զ‐め‐զめa青β~β~β', '~‐զ‐զめզ*զ‐զ‐զ‐めզめզa‐めզ‐めզ‐ː‐զ‐զ‐ːզめզ‐めզ‐զ‐զ‐զ‐ːզ‐զめ‐めզめզ‐զ‐զめզめզめզめզ‐զ‐զ‐զːզめզ‐զめզ‐զ‐め‐ل‐め‐զ‐զ‐=i', '~‐ː‐զ‐a‐ːզ‐զめ—զめզめ‐զ‐զ‐զ—զ‐զ‐զːզ‐զ—զ‐զ‐զːզ‐զ‐զaզ—զ‐զaզ—զ‐զ‐—ːզ‐զ‐զ‐զ‐a青~=', '~‐զめ‐め‐め‐զ‐զ‐めզ‐զ‐զめ‐զめ‐め‐զめ‐めզ‐զめզ‐めզめ‐զ‐զ‐զめզめ‐զ‐めզ‐զめ‐զ‐զ‐զ‐めզ‐めզめզめզ‐めզめ‐զめզめզ‐զめ‐めզ‐め‐զ‐めզめ‐զ‐զ‐զ‐զ‐めզめ‐め‐め‐めզ‐め‐զめզ‐զ‐զ‐զ‐め‐め‐զ‐め‐—β~βиi', '~ː—=զめզ*զめզaզ—զめզ—զ*զaզ—զːզめզːめːզめզめզめզめ*զaːaզめզ*զːզめզめզめզːaզめզめզめզめզめզaզ=i~', 'ψզ—ːզaզ‐զ‐め‐զ‐զめզ*զ‐զ‐զ‐զ‐めզ‐զ‐aզ‐զ‐զ‐զ—ːզːզːaːզːզ—զ—զːզめզː—զːզ‐զ‐≥i~β~β~яまяя=я=яβ', '~ː—めզめզめզめզめզめզめզめզ—a—aզめզaզ*զ*զaզaզ—ː—զaզa—aめզめզaː*զめզめ—ːa*aզ—զ—զ—զめզめզめːզめaめզaᆨяi~яaまa~a~', 'ψ‐ː—զ—‐ːզ—զめզめզ‐զ—ːզ‐զ‐めզめզ‐զ‐զ—a—a—զ‐զ—ːզ—զめզ‐めզめ=i=まa', '~զː‐զ‐a‐զ‐զ‐զ‐զ‐զめզ‐aզ‐զ‐զ‐զːզː—aզːaզːզ—ːaզ‐զːa—զ‐զ‐զ—զaզ‐զ‐զa=β~яβ', 'βː‐զ=‐զめզめզめզ‐めզめզめզめզめզめ—զː—զめզめ‐զ‐めզめզめզめզめզ‐めզ—զめզめaめ‐め—զaめ—զめ—めզめզ‐めզめզめ—ː‐զめ—めզめ—զめզ—զ—զめզめ—զめ—ψiβiβ', '~ːզaːめaզ‐զ‐զ‐め‐め‐め‐a‐զːզめ‐めզ‐զːaզめ—aզː*aզめզめզ—ːզaզめզː—զːզːզ—զ—զ—զめզ‐զ‐ː—ːզ‐め‐զ‐aiEи=и=иa=a', 'ψːզめ‐ːa—զ‐զ‐aզ‐—めզ‐զ‐զめːզːզめզːզめːզːզ‐զ—ː—զːզ—զːզːզ—զːզːզaզːզめզ‐զaめզめզːզ‐め‐զ‐a青βя=β', '~—ːզ‐զ‐զ—めզːզːզ—զaզa—めզaզaզ=β~a=', '~ːզ‐めզ‐a‐—զ‐զ—ːզ‐զ—aզa—զめզ—զaզ—զ‐զ—aːզめզ—զめզめզ—զめզ*—զ‐զ—aːզ‐զめ*զ—զːaː‐զめզ‐めզめզ‐めa‐զa~', '~‐զ‐զ‐զ‐զ‐զa‐*զ‐զ‐զ‐めa—զ‐զ‐զː—զめզa—զめզ‐めզめզめզ‐めզːզめզ‐զめզ‐զː—զːaզːզ‐զ‐ːզːզめզめզ—զめ—‐զ‐զ—øiиiиiиま', '~զめզ—めզ‐զ‐զː‐զaզ‐զ‐զめզ—‐զːզ‐զめզa—զaզaզːզː—զ‐զa—զːaզ‐զめːզ‐զːզː‐զ‐զ—ːզːզ=βቀ']
+{'eval_loss': 20.983184814453125, 'eval_wer': 1.0, 'eval_runtime': 2.7688, 'eval_samples_per_second': 21.67, 'eval_steps_per_second': 0.361, 'epoch': 0.94}
+ 31%|█████████████████████████████████████████████████████▊ | 20/64 [01:22<03:05, 4.21s/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 = 60
+ Batch size = 64
+ 31%|█████████████████████████████████████████████████████▊ | 20/64 [01:24<03:05, 4.21s/it]
+['~զめզ‐զ‐a‐め‐զ‐զ‐めզ‐め‐զ‐め‐めզめ‐めզ‐զ‐զ‐զめզ‐め‐զ‐զ‐զ—զ‐զːめզ‐զめ‐զ‐զ‐ːめզ‐զ‐զ‐め~青βまиi=', '~զːզ—զaզa*զaզaզːզːզ—զːզaզ—զ—ːզaզː—զ—զ=~β~β=ま=まиaզa', '~‐զ‐զaզːզめզめ‐զaːզ‐զaզ—զ‐զːզːզ—զaզ—‐զ‐զaզ‐զ‐զ‐զ‐զ‐—‐—iиまиまиまи', 'ψ‐ː‐—‐զ‐—զaզめզめզ‐զ‐զ‐զ‐զめզ‐զ‐զ‐զ‐զめզ—զ‐զめ—զːզ‐めզ—めːզ‐めզ—զːaզaզ‐զːզ‐め‐զめզめզめ‐զ‐め‐め‐め‐め‐め‐め‐=ᆨiまi=ま', 'ψaզ‐զ‐զ‐a‐զːզ‐զ‐զːզ—զ‐զ‐զ‐զ—aզ‐めզːaːaզめaզ‐զːզ—ːզ‐զめզ—ː—զa‐めզめզ‐*զ‐a‐aզ‐զ‐զ‐a~β~β~E=E=', 'ψːզːզ‐զ‐զ‐զめ—զ‐め‐ːզ‐զ‐զ*զːզ‐զ‐զaզ*զ—ːզ‐զaզ*զaːզːզːզ‐զːզめզ‐զ‐զːզ‐զめզ‐զ=iᆨβ~βᆨβᆨβ=', 'β‐զめզめզ‐զ—զa—զ—զ‐զ‐զ‐զ—ːզ‐զめզ‐զ—զːզːզ‐զ‐զめ‐զ‐—զ—զめ‐զめզ‐զめ‐めզめ‐զ‐め‐զめզ‐զ‐զːզ‐めզめզ‐զ—զ‐զめ‐զ‐զ‐aiиiиまиまиまиま', '~‐զ‐զ‐զ‐a‐զ‐め‐զめզめզ‐めզめːզ‐զ‐めզ‐զめզ‐զ‐զːզ‐զめզめզ‐զ—ːզ‐զ‐զ—զ‐զ‐զ‐զめզ‐め‐め‐զ‐a‐aզ‐a‐a‐=β~β', '~զ‐զиaզめզめզめզめզめ‐めզめզめզめ—めզ—ːaզめզめզːaզめ—ːզめզめզめզめզ—めզめզːaզめ—զめզめզめ—ːզめզめզめզめːaզめզ—a—զめզめզめզめզめզめզめզめզめզめզめզめզめզめզ—めզめզめզめaᆨиβ', '~‐ːզめզ—զ‐aզめ‐め‐め‐и‐զ‐め—ːզ‐զ‐զ‐զ‐զːզaզa—զめզ‐զ—զめզめզa‐զ‐զめզ‐めզːզめզ‐զめզ‐ːめզ‐զめ‐զめզめզ‐զめ—め‐զめːզ‐—めզめզ‐զ‐めզːզ‐めզめզ‐զ‐զ‐զ‐զ‐めզめ‐զ‐զ‐めaめ*めզめ‐めզめզ‐=iEiቀま甌β', '~‐զ‐զめզ‐զめզめզ‐めː—aզ*ːզ‐զ‐զめզ‐めզ‐めզめզː—զːaզめզ‐զめզめːզ‐めզめ—զ‐զ‐զaզ*զ‐զ‐զ‐め‐めզ‐զ‐զめզː‐զめզ—ːզ‐զ‐զめզːզ‐զ‐զめ‐զ‐զ‐զ‐զːめզめզめզめ=զ‐զめ‐めզめ‐め‐զめզめ‐զ‐めզめ‐զ‐=i~i~i~', 'ψզ‐a—զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐め‐զ‐め‐զ‐め‐*‐զ‐զ‐զ—ːզ‐զ‐զ‐զ—զめզめզ‐զめ‐め‐զめզめզːզめզːaզːめզめզ‐զ‐—‐め‐め‐—զ‐զ‐め‐զ‐め‐め‐զ‐—‐ː‐զ—զːզ‐զ‐զ‐=iиiиi甌i甌β', '~‐и‐զ‐a‐め‐*‐զ‐*‐めզ甌զめզ‐*զ‐զ‐զ‐զ‐*めզ‐զ*‐甌‐զ‐զ—զ*զ‐զ‐զ‐զ*զ‐զ*զ‐զめզめզめզめզ‐զめզめզ‐めզめզ‐զ‐զ*‐զめզめ‐—‐զ‐զ‐զ‐—զ‐զめզめզ*‐զめզ‐զ‐*‐զ‐めզ‐զ‐*‐め‐*‐め‐め‐め‐め‐め‐—‐ː‐զ—‐*‐め‐め‐aiτi', '~‐—‐—‐զ‐զ‐զ‐ː‐めզːզめզめզ—զ‐զ‐զ—զ—ː—զめզめզ‐զめզːզːզ‐զːզめ‐զːզ‐զ‐զːめզːめզめզ—զaզːզめ‐めզ‐զːめːզめզめ—զめզ‐զ‐զ‐զ‐զ—զːզːզ‐զ‐ː—‐զ‐զ‐a‐զ‐aiβ~まaまiβ', '~‐ːզめզめզめզ‐զ‐զa*զ—aզ‐զːզːզ—զaːaːզめզ—զa—aզːaզ—aːզːզːզ—զːզːզめզ‐զa青β~青まaиa=', '~a—めa‐զ‐aզ‐զ‐զめզ‐a‐զ‐զaզaːզːզ‐զːզ‐めզːզ‐զaզ‐զaզa‐զːզ—զ‐զ‐զめզaզ‐զ—զめզめզa‐ːզaːaզ‐a=~~и', '~=ːaզ‐զ‐զ‐զ‐a‐a‐զ‐զ‐—զめaզaզ‐զ—զaզ—զ—զ‐զː—զ—զめ‐—‐զ*ːզː‐զaզː—զめզ‐զ‐զ‐զaզːզ‐զ‐զː—զ‐զ‐=iβ~βまиaииии=', '~զaզめզ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐a‐aզ‐զaզaː—aզ‐զː—զ‐զ—զ‐զ‐զ‐զめզː—զːզa—զ‐զ—զ—զ‐զːaզ—զめզaզː—զːզː—զ‐զːզ‐զːզめզ‐զa=β~βቀ=', 'ψː—զめզ—զ*զa‐զ*‐զ‐զːզaզ—aզaզめզめզめզめ—զaզa—զめզ‐զめ‐զ*զ‐զ*զめզaզ‐զ‐զめզaզːզ~яиβиβия', 'ψːզ—aզめզ‐զめզː‐aզːaզ—aː—զ—զːզːզめզaզa—ːզ*—aզ*—ːզめ‐զ‐aզ‐զ‐a‐め‐զːզめզ‐զ‐ːզːզ‐զ‐զ‐զaզː‐—զ‐զ‐ːզ‐զ‐aզめզ‐զ‐զaզ‐զ‐ː—ːզめզaզ‐զ≥›βEиaи=ቀ', '~զ‐め‐めզ‐զaզめզ*զa—զめզːaːaզ—զめզ—ːaզːզaզaզ—զːզ‐զ—ːզːզaզめզめզめa‐զめզ‐զめ~青~~β', 'ψզ—‐զ‐め‐զ‐め‐զːզaզ‐զ—aզ‐զːզːզめզ‐զ—զ‐め‐զめ‐め‐զ‐*ːզ‐め—‐զːզː—զ‐զ—զ—め—めզːզめ‐め‐զめ*—aզːզːզ‐զːզːզめզめːզ—ːզ‐—‐ːզめզ—զ—զ—ːզːզ—զ‐め‐զめզめ‐a‐め‐め‐զ‐զ‐≥青~', '~aզaːզa—a—aզめզめզ—aզaզːզːզa—ːaːaզ*aզaզːզaզ—aːզː—ːզ~=β~β~β~β~β', 'β‐—‐զ‐զ‐զ‐զ‐զ‐զ‐めզ‐զ‐զ‐զめ‐զ—զaզめ‐զaめզ‐めզ‐զめզaզ‐զ‐զ‐めզ‐զ‐զ‐めզ‐めզ‐զ‐զ‐զ‐զ‐զ‐զ‐զ‐aᆨiиiиまi', '~զːaզaːզ—a—aզaզːզa—aːaզ—ːզ—զ*aզa—ːaզaզaզːaːaզaː—aզ=~ββ~β~', '~զ‐զ—ːզ—զめզ‐զaզ—զaզːզːզːզ—զː*—զːզ—զːaզaզːզaզ—զ‐զːզ‐զa—ː*ːaզ—զ—զːզaːaզ‐զ—զめզːզ‐զ=‐զa=β=~=β=β', '~め‐զめиめզめ‐め‐めզめ‐զめaめզ‐զめa—զa—զめզ‐めզめلaզめaզめa—զめaզめզめզめզ—զaզめզ—զめզめզ—զめզ—զめ—զiи~β', '~զ‐զ‐զめ‐զめ‐—‐զ‐զ‐զ‐զ—a—զ‐զ‐զ—զめզめզ—զ—զa‐զ‐զ‐զ‐զ‐զめզ‐զ—զめզめː—զめ—զːզめզ—զ—զːզ‐զ‐զːaզ—ːզ‐զːaզ‐զめզaզaզ‐զ‐զめզ‐զ‐զːզ‐զ‐ːզ‐aզ‐զ‐զ‐զa=β~ββ=β', '~ː—‐զ‐զ‐a‐զ‐a‐զ‐զ‐ːզaզ*զaզː—զ—ːaզːaզ‐めզ*aզ—ː—aզːզːզːզめզ‐զaiaia', '~—‐զ‐զ‐զ‐զ‐զ‐め‐զめզːզ—զ—aզːզaզ‐զ—զめզ—զa‐めզ‐զ—ːզ—ːզ‐զめ*めզ‐զめզめզ—զːզ‐զaզめզめզ‐զめզ‐զ—զːզ‐զ—զ‐զ‐զめa青β~β', '~զ‐զ‐զ‐զ‐め‐զaզaզ‐めզ*—=զめզ—զめզ‐զ‐զ—ːզ‐զ‐զ‐զめզめզ‐զ—զめզめզめզめզ‐զ—զːզːզ厳զ=‐զめ—めզめզːզめզめզːզめːզ‐զ—めːզ‐զ‐զめ‐զ—զめ‐զめզ‐めզめ‐め‐զ‐—ψiまиi', 'ψaːզ—զ—զ—զめզ‐զ—զ—‐զ‐—զ—զːզ‐զ‐զaզ—aզːզːaզ—զːaզːզːզ—զaզ—զ—զːզ—め—զ—զ‐զ‐զ‐զ—զ—զ—զ‐めզ—i=iま=i=', '~‐めզːզ‐めզ‐զ‐զ‐զ‐め‐զめզめ‐めզːզ‐զ‐め‐զ‐め—aզめ‐զめզ‐*զ‐զ‐*‐=‐aめ=զ‐զ‐=青βEiβ', '~զ‐զ‐զ‐aզ‐զ‐զ‐զaզa—զ—զːզaզ—զaզ*զ—զ*զ—զaզめզめզ‐զ‐զ‐զめզ‐զː—զːզ=', 'ψզめզ‐զ‐զ‐զ‐զ‐զ‐զ‐զめզ‐զめզːզːզ—զめզ*—ː—զめզめզ—զ‐զめզめզ*‐め‐め‐=i~i~a', '~‐զ‐զ‐め‐զ‐զ‐զ‐զ‐めզめ‐զ‐զ‐զめզめ‐め‐զ‐զめզめ‐めզ‐զめզ—զめզ‐զめ‐զ‐զめզːめ‐めզ‐զめզ‐զ‐զ‐զ‐զめզめզ‐めզ‐զ‐զめզめ‐めզ‐զ‐զ‐զ—‐զめ‐め‐め‐め‐め‐~i', '~‐զ‐め‐զ‐զ‐զ‐めզ‐զːզ‐զ‐զːզめզ‐զ‐զːa‐—զ—զめզ*զ‐զːզめզめզ‐զ‐めզ‐ː‐զːզ‐զめ‐め‐=›i›~›i›i~ま~', '~‐զ‐զ‐め‐め‐զ‐զ‐զ‐めզ‐զめզめզ‐զ‐め‐զ‐զ‐զめզめ‐զ‐զ‐զ—զ‐զaզめզ‐զ‐զ‐զ‐めզ—‐զ‐զ‐զめզ‐զ‐զめզめզ‐め‐զ‐զ‐զ—め—‐զ‐զめզ‐զː‐զ‐զ‐զめ‐め‐aiβiβiβiβiβまa', '~‐めզ‐զ‐め‐զ‐զ‐զめզめ‐めզ‐զ‐զ—զ‐զ‐զ‐զ‐զ‐զ‐զめզ‐զ‐զ*め‐զ‐めզめզaզめզaզ‐զa‐զ‐ː‐զ‐զ‐=β~β=~', '~ːa—ːめ‐め‐զ‐め‐—‐め‐զaめ—զ‐め‐め‐め‐め‐զ‐めːզ‐զ—aզ‐զːa—զaզːզːզ—aː—զ‐զ=яøβ=β=β', '~aզめզː‐め‐a‐め‐め‐め‐め‐め‐め‐め‐め‐—‐զ‐զː—aːզめզめզめզめզ—aզめ‐զ—ːզ‐զ‐զ‐զːզめզ—aզめ—զːaː‐զ—զ‐զめզめզ‐め‐め‐ːaめːaզめզ—զːզ‐=iβiᆨβяa.яβ', 'ψ‐զ‐զ‐զ‐—զːզ‐զ‐զ‐զ*aզːզ‐め—めզaːզ‐զ‐զ‐զ‐めզː‐զ‐—զ‐զːզ‐めզ‐զ‐ːめ‐զ‐զめ—ːզ‐զ‐զ‐զめզːaզ‐ː‐զめզː—ːզ‐զ‐զːզ‐զ‐ː‐ːզ‐—զ‐め‐=β=β', '=զめզめզː‐զ—զめզめզːզːզːaզめa—զ‐զ—لaզ—զ—aզめːզː—ːզめaːզ—ːզːզ*զめːaզめզ‐զめզ—ːզめː‐め‐a—ːզ—զめː‐め‐զ‐a‐զa~β~β', '~‐զ‐զ‐め‐め‐め‐a‐զ‐զめզ‐զ‐զ‐զ‐զ—զ—զめզːզ‐զ‐զːզːզ—ː—ːզめզ—զːզ—ːզ‐զ‐զ—զ‐զ‐զめː—զめզ‐զ—զ‐զ‐զ‐զめզːզːզ‐զ‐զ‐めզː—զ‐զ‐զめզ—ːզ‐զːզː—զː—զめզ‐aβ~まaまEяEβ', '~զaզめզːզめզːզ‐զめ—aզめ‐めզ‐զːզːめզːզ‐զ‐զ‐զ‐զ‐զaզːaզ‐զːզːզめզめզːզめզめːզ—զ‐め‐զめa青β~β~β', '~‐զ‐զめզ*զ‐զ‐զ‐めզめզa‐めզ‐めզ‐ː‐զ‐զ‐ːզめզ‐めզ‐զ‐զ‐զ‐ːզ‐զめ‐めզめզ‐զ‐զめզめզめզめզ‐զ‐զ‐զめզ‐զめզ‐զ‐め‐め‐ل‐め‐զ‐զ‐=i', '~‐ː‐զ‐a‐ːզ‐զめaզめզめ‐զ‐զ‐զ—զ‐զ‐զːզ‐զ—զ‐զ‐զːզ‐զ‐զaզ—զ‐զaզ‐զ—զ‐զ‐—ːզ‐զ‐զ‐զ‐զ‐a青~==', '~‐զめ‐め‐め‐զ‐めզ‐զ‐զめ‐め‐զめ‐め‐めզ‐めզ‐զめզ‐めզめ‐զ‐զ‐զめզめ‐զ‐めզ‐զめ‐զ‐զ‐զ‐めզ‐めզめզめզ‐めզめ‐զめզめզ‐զめ‐めզ‐め‐զ‐めզめ‐զ‐զ‐զ‐զ‐めզめ‐め‐め‐めզ‐め‐զめզ‐զ‐զ‐զ‐め‐զ‐め‐զ‐め‐—β~βиi', '~*զ—=զめզ*զめզaզ—զめզめզ—զ*զaզ—զːզめզːめːզめզめզːզめզめ*զaːaզめզ*զːզめզめզめզːaզめզめզめզめզめզaզ=i~', 'ψզ—ːզaզ‐զ‐め‐զ‐զめզa‐զ‐զ‐զ‐զ‐めզ‐զ‐aզ‐զ‐զ‐զ—ːզːզːaːզː—ːզ—զ—զːզめզː—զːզ‐զ‐զ‐≥i~β~яβ', '~ː—めզめզめզめզめզめզめզ—aզめզaզ*զ*զaզaզ—ː—զaզaめզめզaː*զめզめ—ːa*aզ—զ—զ—զめզめːզめaめզaᆨяi~яaяa~a~', 'ψ‐—զ—‐ːզ—զめզめզ‐զ—ːզ‐զ‐めզめզ‐զ‐զ—a—a—զ‐զ—ːզ—զめզ‐めզめ=i=まa', '~զː‐a‐զ‐զ‐զːզ‐զ‐զめզ‐aզ‐զ‐զ‐զめզ‐զːզːզː—aզːaզːզ—ːaզ‐զ‐զːa—զ‐զ‐զ‐զ—զaզ‐զ‐զa=β~β', 'βː‐զ=‐զめզめզめզ‐めզめզめզめզめ—զːզめզめ‐զ‐めզめզめզめզ‐めզ—զめզめaめ‐め—զaめ—զめ—めզめզ‐めզめզめ—ː‐զめ—めզめ—զめզ—զ—զめզめ—め—ψiβiβ', '~ːめaːめa‐զ‐め‐め‐め‐a‐զːզめ‐めզ‐զːaզめ—aզː*aզめզめզめզ—ːզaզめզː—զːզːզ—զ—զ‐—զめզ‐զ‐ː—ːզ‐め‐զ‐aiE=и=a', 'ψːզめ‐ːa—զ‐զ‐aզ‐—めզ‐զ‐զめː‐զːզめզːզめːզaզaզ‐զ—ː—զːզ—զːզːզ—զːզːզaզːզめզ‐զ‐զaめզめզːզ‐զ‐め‐զ‐a青βя=β', '~—ːզ‐զ‐զ—めզːզːզ—զaզa—めզaզaզ=β~a=', '~ːզ‐めզ‐a‐—զ‐զ—aզ‐զ—aզa—զめ—զ—զaզ—զ‐զ—aːզめզ—զめզめզ—զめզ*—զ‐め—aːզ‐զめ*զ—զːaː‐զめզ‐めզめզ‐めa‐զa~', '~‐զ‐զ‐զ‐զ‐զ‐a‐*զ‐զ‐զ‐めa—զ‐զ‐զː—զめզːa—զめզ‐めզめզめզ‐めզːզめզ‐զめզ‐զː—զめզːaզːզ‐զ‐ːզːզ‐զめզめզ—զめ—‐զ‐զ—øiиiиiиま', '~զめզ—めզ‐զ‐զː‐զaզ‐զ‐զめզ—‐զːզ‐զめզa—զaզaզːզː—զ‐զːզa—զːaզ‐զめːզ‐զːզː‐զ‐զ—ːզːզ=βቀ']
+
+
+ 34%|███████████████████████████████████████████████████████████▏ | 22/64 [01:29<02:44, 3.91s/it]Traceback (most recent call last):
+ File "run_speech_recognition_ctc.py", line 749, in
+ main()
+ File "run_speech_recognition_ctc.py", line 700, in main
+ train_result = trainer.train(resume_from_checkpoint=checkpoint)
+ File "/opt/conda/lib/python3.8/site-packages/transformers/trainer.py", line 1347, in train
+ for step, inputs in enumerate(epoch_iterator):
+ File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 521, in __next__
+ data = self._next_data()
+ File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 561, in _next_data
+ data = self._dataset_fetcher.fetch(index) # may raise StopIteration
+ File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 52, in fetch
+ return self.collate_fn(data)
+ File "run_speech_recognition_ctc.py", line 282, in __call__
+ batch = self.processor.pad(
+ File "/opt/conda/lib/python3.8/site-packages/transformers/models/wav2vec2/processing_wav2vec2.py", line 147, in pad
+ return self.current_processor.pad(*args, **kwargs)
+ File "/opt/conda/lib/python3.8/site-packages/transformers/feature_extraction_sequence_utils.py", line 229, in pad
+ value = value.astype(np.float32)
+KeyboardInterrupt
\ No newline at end of file
diff --git a/wandb/run-20220130_175417-3n44neww/files/requirements.txt b/wandb/run-20220130_175417-3n44neww/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..cf9ab5f8dda320685966fe633f1c90bf2c92beca
--- /dev/null
+++ b/wandb/run-20220130_175417-3n44neww/files/requirements.txt
@@ -0,0 +1,180 @@
+aiohttp==3.8.1
+aiosignal==1.2.0
+analytics-python==1.4.0
+anyio==3.5.0
+appdirs==1.4.4
+argon2-cffi-bindings==21.2.0
+argon2-cffi==21.3.0
+asgiref==3.5.0
+asttokens==2.0.5
+async-timeout==4.0.2
+attrs==21.4.0
+audioread==2.1.9
+backcall==0.2.0
+backoff==1.10.0
+bcrypt==3.2.0
+beautifulsoup4==4.9.3
+black==21.12b0
+bleach==4.1.0
+brotlipy==0.7.0
+certifi==2020.12.5
+cffi==1.14.3
+chardet==3.0.4
+charset-normalizer==2.0.10
+click==8.0.3
+conda-build==3.21.4
+conda-package-handling==1.7.2
+conda==4.9.2
+configparser==5.2.0
+cryptography==3.2.1
+cycler==0.11.0
+datasets==1.18.2.dev0
+debugpy==1.5.1
+decorator==4.4.2
+defusedxml==0.7.1
+dill==0.3.4
+dnspython==2.1.0
+docker-pycreds==0.4.0
+entrypoints==0.3
+executing==0.8.2
+fastapi==0.73.0
+ffmpy==0.3.0
+filelock==3.0.12
+fonttools==4.29.0
+frozenlist==1.3.0
+fsspec==2022.1.0
+gitdb==4.0.9
+gitpython==3.1.26
+glob2==0.7
+gradio==2.7.5.2
+h11==0.13.0
+huggingface-hub==0.4.0
+idna==2.10
+importlib-resources==5.4.0
+ipykernel==6.7.0
+ipython-genutils==0.2.0
+ipython==8.0.1
+ipywidgets==7.6.3
+jedi==0.17.0
+jinja2==2.11.3
+jiwer==2.3.0
+joblib==1.1.0
+json5==0.9.6
+jsonschema==4.4.0
+jupyter-client==7.1.2
+jupyter-core==4.9.1
+jupyterlab-pygments==0.1.2
+jupyterlab-server==1.2.0
+jupyterlab-widgets==1.0.2
+jupyterlab==2.2.9
+kiwisolver==1.3.2
+libarchive-c==2.9
+librosa==0.8.1
+llvmlite==0.38.0
+markdown2==2.4.2
+markupsafe==1.1.1
+matplotlib-inline==0.1.3
+matplotlib==3.5.1
+mistune==0.8.4
+mkl-fft==1.3.0
+mkl-random==1.1.1
+mkl-service==2.3.0
+monotonic==1.6
+multidict==6.0.2
+multiprocess==0.70.12.2
+mypy-extensions==0.4.3
+nano==0.10.0
+nbclient==0.5.10
+nbconvert==6.4.1
+nbformat==5.1.3
+nest-asyncio==1.5.4
+notebook==6.4.8
+numba==0.55.1
+numpy==1.19.2
+olefile==0.46
+packaging==21.3
+pandas==1.4.0
+pandocfilters==1.5.0
+paramiko==2.9.2
+parso==0.8.1
+pathspec==0.9.0
+pathtools==0.1.2
+pexpect==4.8.0
+pickleshare==0.7.5
+pillow==8.1.2
+pip==21.3.1
+pkginfo==1.7.0
+platformdirs==2.4.1
+pooch==1.6.0
+prometheus-client==0.13.0
+promise==2.3
+prompt-toolkit==3.0.8
+protobuf==3.19.4
+psutil==5.8.0
+ptyprocess==0.7.0
+pure-eval==0.2.2
+pyarrow==6.0.1
+pycosat==0.6.3
+pycparser==2.20
+pycryptodome==3.13.0
+pydantic==1.9.0
+pydub==0.25.1
+pygments==2.8.0
+pynacl==1.5.0
+pyopenssl==19.1.0
+pyparsing==3.0.7
+pyrsistent==0.18.1
+pysocks==1.7.1
+python-dateutil==2.8.2
+python-etcd==0.4.5
+python-levenshtein==0.12.2
+python-multipart==0.0.5
+pytz==2021.1
+pyyaml==5.4.1
+pyzmq==22.3.0
+regex==2022.1.18
+requests==2.24.0
+resampy==0.2.2
+ruamel-yaml==0.15.87
+sacremoses==0.0.47
+scikit-learn==1.0.2
+scipy==1.7.3
+send2trash==1.8.0
+sentry-sdk==1.5.4
+setuptools==50.3.1.post20201107
+shortuuid==1.0.8
+six==1.15.0
+smmap==5.0.0
+sniffio==1.2.0
+soundfile==0.10.3.post1
+soupsieve==2.2
+stack-data==0.1.4
+starlette==0.17.1
+subprocess32==3.5.4
+termcolor==1.1.0
+terminado==0.13.1
+testpath==0.5.0
+threadpoolctl==3.0.0
+tokenizers==0.11.4
+tomli==1.2.3
+torch==1.10.2
+torchaudio==0.10.2
+torchelastic==0.2.2
+torchtext==0.9.1
+torchvision==0.9.1
+tornado==6.1
+tqdm==4.62.3
+traitlets==5.1.1
+transformers==4.17.0.dev0
+typing-extensions==4.0.1
+urllib3==1.25.11
+uvicorn==0.17.1
+wandb==0.12.9
+wcwidth==0.2.5
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\ No newline at end of file
diff --git a/wandb/run-20220130_175417-3n44neww/files/wandb-metadata.json b/wandb/run-20220130_175417-3n44neww/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..2a9f00294683bc07922556b07d655c8144fc9c88
--- /dev/null
+++ b/wandb/run-20220130_175417-3n44neww/files/wandb-metadata.json
@@ -0,0 +1,66 @@
+{
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+ "python": "3.8.8",
+ "heartbeatAt": "2022-01-30T17:54:18.803448",
+ "startedAt": "2022-01-30T17:54:17.515767",
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+ "cuda": null,
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+ "--dataset_name=mozilla-foundation/common_voice_8_0",
+ "--model_name_or_path=facebook/wav2vec2-xls-r-300m",
+ "--dataset_config_name=fr",
+ "--tokenizer_name_or_path=./",
+ "--output_dir=./",
+ "--overwrite_output_dir",
+ "--num_train_epochs=4",
+ "--per_device_train_batch_size=64",
+ "--per_device_eval_batch_size=64",
+ "--gradient_accumulation_steps=1",
+ "--learning_rate=2e-4",
+ "--warmup_steps=2500",
+ "--length_column_name=input_length",
+ "--evaluation_strategy=steps",
+ "--text_column_name=sentence",
+ "--save_steps=500",
+ "--eval_steps=5",
+ "--logging_steps=5",
+ "--layerdrop=0.0",
+ "--activation_dropout=0.05",
+ "--save_total_limit=20",
+ "--freeze_feature_encoder",
+ "--feat_proj_dropout=0.0",
+ "--mask_time_prob=0.6",
+ "--mask_time_length=10",
+ "--mask_feature_prob=0.25",
+ "--mask_feature_length=10",
+ "--gradient_checkpointing",
+ "--report_to=wandb",
+ "--run_name=xls-r-300m-fr",
+ "--max_train_samples=1000",
+ "--max_eval_samples=60",
+ "--max_duration_in_seconds=10",
+ "--use_auth_token",
+ "--fp16",
+ "--group_by_length",
+ "--preprocessing_num_workers=64",
+ "--do_train",
+ "--do_eval",
+ "--load_best_model_at_end",
+ "--push_to_hub"
+ ],
+ "state": "running",
+ "program": "run_speech_recognition_ctc.py",
+ "codePath": "run_speech_recognition_ctc.py",
+ "git": {
+ "remote": "https://huggingface.co/AlexN/xls-r-300m-fr",
+ "commit": "9d07727def2251b0909520344156eb711ff096b9"
+ },
+ "email": "alexandrenap@hotmail.fr",
+ "root": "/workspace/xls-r-300m-fr",
+ "host": "job-1abccd0a-3293-4ffe-8274-9e8f841f653f",
+ "username": "ovh",
+ "executable": "/opt/conda/bin/python"
+}
diff --git a/wandb/run-20220130_175417-3n44neww/files/wandb-summary.json b/wandb/run-20220130_175417-3n44neww/files/wandb-summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..6ba74fba7b0376eff2a01c224d28cb6f47fc9074
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@@ -0,0 +1 @@
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\ No newline at end of file
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diff --git a/wandb/run-20220130_175417-3n44neww/logs/debug.log b/wandb/run-20220130_175417-3n44neww/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..8f2c984e0d5d358cc2f0e65286ea0835739e4dc1
--- /dev/null
+++ b/wandb/run-20220130_175417-3n44neww/logs/debug.log
@@ -0,0 +1,130 @@
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