update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: temp1
+  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. -->
+
+# temp1
+
+This model is a fine-tuned version of [hts98/whisper-medium-1113](https://huggingface.co/hts98/whisper-medium-1113) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3216
+- Wer: 100.0
+
+## 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: 10
+- eval_batch_size: 10
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 30
+- training_steps: 200
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer   |
+|:-------------:|:-----:|:----:|:---------------:|:-----:|
+| 0.2082        | 1.2   | 30   | 0.2595          | 100.0 |
+| 0.0803        | 2.4   | 60   | 0.2885          | 100.0 |
+| 0.042         | 3.6   | 90   | 0.3030          | 100.0 |
+| 0.0202        | 4.8   | 120  | 0.3190          | 100.0 |
+| 0.0069        | 6.0   | 150  | 0.3151          | 100.0 |
+| 0.0039        | 7.2   | 180  | 0.3216          | 100.0 |
+
+
+### Framework versions
+
+- Transformers 4.28.0.dev0
+- Pytorch 2.0.0+cu117
+- Datasets 2.7.0
+- Tokenizers 0.13.3