Create README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Japanese_Fine_Tuned_Whisper_Model
+  results: []
+datasets:
+- mozilla-foundation/common_voice_11_0
+language:
+- ja
+---
+
+# Japanese_Fine_Tuned_Whisper_Model
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.549100
+- Wer: 225.233037
+
+## Model description
+
+The tiny Whisper model is fine-tuned on Japanese speech samples from the Common Voice dataset, based on which users can perform Automatic Speech Recognition in real time in Japanese.
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 8
+- 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: 100
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Step  | Validation Loss   | Wer        |
+|:-------------:|:-----:|:-----------------:|:----------:|
+| 0.8097        | 200   | 0.801917          | 601.560806 |
+| 0.7200        | 400   | 0.783436          | 327.335790 |
+| 0.6810        | 600   | 0.759281          | 254.064600 |
+| 0.7351        | 800   | 0.747759          | 241.426404 |
+| 0.5491        | 1000  | 0.747127          | 225.233037 |
+
+### Framework versions
+
+- Transformers 4.27.0.dev0
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.1
+- Tokenizers 0.13.2