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xezpeleta
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whisper-large-eu

Automatic Speech Recognition
Transformers
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Basque
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whisper-large-eu
File size: 2,484 Bytes 
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  "python":  "3.12.3",
  "startedAt":  "2024-10-07T13:18:49.425338Z",
  "args":  [
    "--model_name_or_path=openai/whisper-large-v3",
    "--dataset_name=mozilla-foundation/common_voice_17_0",
    "--dataset_config_name=eu",
    "--language=basque",
    "--train_split_name=train+validation",
    "--eval_split_name=test",
    "--model_index_name=Whisper Large Basque",
    "--max_steps=10000",
    "--output_dir=./",
    "--per_device_train_batch_size=16",
    "--per_device_eval_batch_size=8",
    "--gradient_accumulation_steps=1",
    "--logging_steps=25",
    "--learning_rate=4.375e-6",
    "--warmup_steps=500",
    "--evaluation_strategy=steps",
    "--eval_steps=500",
    "--save_strategy=steps",
    "--save_steps=1000",
    "--generation_max_length=228",
    "--length_column_name=input_length",
    "--max_duration_in_seconds=30",
    "--text_column_name=sentence",
    "--freeze_feature_encoder=False",
    "--report_to=tensorboard",
    "--metric_for_best_model=wer",
    "--greater_is_better=False",
    "--load_best_model_at_end",
    "--gradient_checkpointing",
    "--fp16",
    "--overwrite_output_dir",
    "--resume_from_checkpoint=checkpoint-9000",
    "--do_train",
    "--do_eval",
    "--predict_with_generate",
    "--do_normalize_eval",
    "--streaming",
    "--push_to_hub",
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    "--run_name",
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  ],
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  "git":  {
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  "email":  "xezpeleta@gmail.com",
  "root":  "/home/tknika/whisper-large-eu",
  "host":  "tknika",
  "username":  "tknika",
  "executable":  "/home/tknika/whisper-large-eu/.venv/bin/python",
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