Create README.md

README.md

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+---
+language:
+- ta
+metrics:
+- wer
+library_name: transformers
+pipeline_tag: automatic-speech-recognition
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+This model is the fine-tuned version of Amrrs/wav2vec2-large-xlsr-53-tamil model for Tamil speech data.
+
+## Model Details
+
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+This model can be used to fine-tune the wav2vec2-large model for Tamil language.
+
+#### Preprocessing [optional]
+
+* Resampling to 16000 Hz
+* Log-Mel Spectrogram extraction
+
+
+#### Training Hyperparameters
+
+training_args = TrainingArguments(
+  output_dir="armms-xlsr",
+  group_by_length=True,
+  per_device_train_batch_size=4,
+  gradient_accumulation_steps=3,
+  evaluation_strategy="steps",
+  num_train_epochs=30,
+  gradient_checkpointing=True,
+  fp16=True,
+  seed = 42,
+  save_steps=200,
+  eval_steps=200,
+  logging_steps=200,
+  learning_rate=3e-4,
+  warmup_steps=500,
+  save_total_limit=2,
+  push_to_hub=True,
+)