update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: openai/whisper-large-v2
+  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. -->
+
+# openai/whisper-large-v2
+
+This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1534
+- Wer: 145.6786
+
+## 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: 32
+- 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
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer      |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0799        | 2.03  | 500  | 0.1010          | 28.1322  |
+| 0.0239        | 5.01  | 1000 | 0.1388          | 161.0139 |
+| 0.0066        | 7.03  | 1500 | 0.1221          | 99.3747  |
+| 0.0007        | 10.01 | 2000 | 0.1295          | 250.8822 |
+| 0.0007        | 12.04 | 2500 | 0.1423          | 77.2203  |
+| 0.0003        | 15.02 | 3000 | 0.1480          | 149.4380 |
+| 0.0001        | 17.05 | 3500 | 0.1518          | 141.5842 |
+| 0.0001        | 20.02 | 4000 | 0.1534          | 145.6786 |
+
+
+### Framework versions
+
+- Transformers 4.27.0.dev0
+- Pytorch 1.13.1+cu117
+- Datasets 2.9.1.dev0
+- Tokenizers 0.13.2