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: openai/whisper-small-Assamese
+  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: 42.10746393476897
+---
+
+<!-- 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. -->
+
+# openai/whisper-small-Assamese
+
+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: 0.7523
+- Wer: 42.1075
+
+## 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
+- gradient_accumulation_steps: 8
+- 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: 500
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer      |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.2518        | 20.01 | 250  | 0.5376          | 143.3410 |
+| 0.0069        | 41.01 | 500  | 0.6409          | 49.9268  |
+| 0.0004        | 62.01 | 750  | 0.7344          | 43.4455  |
+| 0.0001        | 83.0  | 1000 | 0.7523          | 42.1075  |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.11.0
+- Datasets 2.1.0
+- Tokenizers 0.12.1