Delete README.md

README.md

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----
-language:
-- mr
-license: apache-2.0
-tags:
-- whisper-event
-- generated_from_trainer
-datasets:
-- mozilla-foundation/common_voice_11_0
-metrics:
-- wer
-model-index:
-- name: Whisper Large Marathi - Drishti Sharma
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Common Voice 11.0
-      type: mozilla-foundation/common_voice_11_0
-      config: mr
-      split: test
-      args: mr
-    metrics:
-    - name: Wer
-      type: wer
-      value: 13.644010767160161
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# Whisper Large Marathi
-
-This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the Common Voice 11.0 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.1975
-- Wer: 13.6440
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 8
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 100
-- training_steps: 400
-- mixed_precision_training: Native AMP
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.1914        | 0.81  | 400  | 0.1975          | 13.6440 |
-
-
-### Framework versions
-
-- Transformers 4.26.0.dev0
-- Pytorch 1.13.0+cu116
-- Datasets 2.7.1.dev0
-- Tokenizers 0.13.2