update model card README.md

README.md

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+---
+language:
+- as
+license: apache-2.0
+tags:
+- whisper-event
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small Assamese - 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: as
+      split: test
+      args: as
+    metrics:
+    - name: Wer
+      type: wer
+      value: 30.650219527493206
+---
+
+<!-- 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 Assamese - Drishti Sharma
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5164
+- Wer: 30.6502
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 150
+- training_steps: 500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 1.1539        | 3.02  | 50   | 0.7835          | 89.0863 |
+| 0.2089        | 7.0   | 100  | 0.3041          | 37.7378 |
+| 0.0428        | 10.02 | 150  | 0.3760          | 33.9118 |
+| 0.0141        | 14.01 | 200  | 0.4400          | 31.6538 |
+| 0.0059        | 17.02 | 250  | 0.4472          | 31.2774 |
+| 0.0022        | 21.01 | 300  | 0.4696          | 31.0475 |
+| 0.0005        | 24.03 | 350  | 0.5032          | 31.2983 |
+| 0.0003        | 28.02 | 400  | 0.5051          | 30.7129 |
+| 0.0003        | 32.0  | 450  | 0.5137          | 30.7338 |
+| 0.0003        | 35.02 | 500  | 0.5164          | 30.6502 |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.13.0+cu116
+- Datasets 2.7.1.dev0
+- Tokenizers 0.13.2