update model card README.md

README.md

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+---
+language:
+- sa
+license: apache-2.0
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- addy88/sanskrit-asr-84
+metrics:
+- wer
+model-index:
+- name: whisper-small-sanskasr-37000-V3
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: addy88/sanskrit-asr-84
+      type: addy88/sanskrit-asr-84
+      config: null
+      split: None
+      args: 'split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 87.80468001493968
+---
+
+<!-- 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-sanskasr-37000-V3
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the addy88/sanskrit-asr-84 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7560
+- Wer: 87.8047
+
+## 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: 10
+- eval_batch_size: 10
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 5
+- training_steps: 100
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 1.5226        | 0.0   | 10   | 1.1482          | 96.8367 |
+| 1.0625        | 0.01  | 20   | 0.9524          | 96.0036 |
+| 0.8662        | 0.01  | 30   | 0.8896          | 94.1134 |
+| 0.8763        | 0.01  | 40   | 0.8467          | 90.5783 |
+| 0.8338        | 0.02  | 50   | 0.8134          | 90.5734 |
+| 0.802         | 0.02  | 60   | 0.7916          | 88.7546 |
+| 0.7823        | 0.02  | 70   | 0.7781          | 89.0323 |
+| 0.7241        | 0.03  | 80   | 0.7681          | 89.0486 |
+| 0.7404        | 0.03  | 90   | 0.7585          | 88.1489 |
+| 0.7086        | 0.03  | 100  | 0.7560          | 87.8047 |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.0
+- Datasets 2.13.0
+- Tokenizers 0.13.3