Update README.md

README.md

@@ -1,68 +1,71 @@
----
-library_name: transformers
-language:
-- ur
-license: apache-2.0
-base_model: openai/whisper-small
-tags:
-- hf-asr-leaderboard
-- generated_from_trainer
-datasets:
-- mozilla-foundation/common_voice_16_0
-model-index:
-- name: Whisper Small ur - Urdu
-  results: []
----
-
-<!-- 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 Small ur - Urdu
-
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.0 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.9090
-- Cer: 31.9947
-
-## 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: 16
-- eval_batch_size: 8
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 64
-- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 50
-- training_steps: 1000
-- mixed_precision_training: Native AMP
-
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss | Cer     |
-|:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.0017        | 31.256 | 1000 | 0.9090          | 31.9947 |
-
-
-### Framework versions
-
-- Transformers 4.47.1
-- Pytorch 2.5.0
-- Datasets 3.2.0
-- Tokenizers 0.21.0
+---
+library_name: transformers
+language:
+- ur
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_16_0
+model-index:
+- name: Whisper Small ur - Urdu
+  results: []
+metrics:
+- cer
+pipeline_tag: automatic-speech-recognition
+---
+
+<!-- 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 Small ur - Urdu
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9090
+- Cer: 31.9947
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Cer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.0017        | 31.256 | 1000 | 0.9090          | 31.9947 |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.0
+- Datasets 3.2.0
+- Tokenizers 0.21.0