update model card README.md

README.md

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+---
+language:
+- vi
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- leaderboards
+- generated_from_trainer
+datasets:
+- vivos
+metrics:
+- wer
+model-index:
+- name: Whisper - Vivos
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Vivos
+      type: vivos
+      config: null
+      split: None
+      args: 'split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 54.85625485625486
+---
+
+<!-- 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 - Vivos
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Vivos dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2370
+- Wer: 54.8563
+
+## 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
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.1265        | 1.37  | 1000 | 0.2178          | 35.8845 |
+| 0.062         | 2.74  | 2000 | 0.2138          | 49.8446 |
+| 0.0169        | 4.12  | 3000 | 0.2273          | 52.2922 |
+| 0.012         | 5.49  | 4000 | 0.2370          | 54.8563 |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.0
+- Datasets 2.13.1
+- Tokenizers 0.13.3