update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-base.en
+  results: []
+---
+
+<!-- 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-base.en
+
+This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0027
+- Wer: 2.0414
+
+## 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: 3500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.3217        | 1.62  | 500  | 0.2442          | 10.2872 |
+| 0.0874        | 3.25  | 1000 | 0.0774          | 5.5339  |
+| 0.0459        | 4.87  | 1500 | 0.0268          | 3.3624  |
+| 0.012         | 6.49  | 2000 | 0.0094          | 2.7119  |
+| 0.0041        | 8.12  | 2500 | 0.0041          | 2.1115  |
+| 0.0035        | 9.74  | 3000 | 0.0030          | 2.1315  |
+| 0.0036        | 11.36 | 3500 | 0.0027          | 2.0414  |
+
+
+### Framework versions
+
+- Transformers 4.28.0.dev0
+- Pytorch 1.13.1+cu116
+- Datasets 2.11.0
+- Tokenizers 0.13.2