update model card README.md

README.md

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+---
+language:
+- en-US
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- PolyAI/minds14
+metrics:
+- wer
+model-index:
+- name: whisper tiny en-US - J3
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: PolyAI/minds14-en-US
+      type: PolyAI/minds14
+      config: en-US
+      split: train[450:]
+      args: en-US
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.3654073199527745
+---
+
+<!-- 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 tiny en-US - J3
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14-en-US dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0413
+- Wer Ortho: 0.3603
+- Wer: 0.3654
+
+## 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: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: reduce_lr_on_plateau
+- lr_scheduler_warmup_steps: 100
+- training_steps: 2000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|
+| 0.0001        | 35.71  | 500  | 0.8505          | 0.3430    | 0.3459 |
+| 0.0           | 71.43  | 1000 | 0.9093          | 0.3455    | 0.3501 |
+| 0.0           | 107.14 | 1500 | 0.9707          | 0.3553    | 0.3589 |
+| 0.0           | 142.86 | 2000 | 1.0413          | 0.3603    | 0.3654 |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3