update model card README.md

README.md

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+---
+language:
+- id
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- id-asr-leaderboard
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Whisper Small ID - norm
+  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 Small ID - norm
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.4712
+- Wer: 282.7881
+
+## 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: 8
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer       |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|
+| 17.6812       | 1.94  | 1000 | 12.3783         | 1360.8144 |
+| 6.976         | 3.87  | 2000 | 8.7546          | 241.4815  |
+| 2.0938        | 5.81  | 3000 | 7.1760          | 899.5997  |
+| 0.3231        | 7.74  | 4000 | 5.4712          | 282.7881  |
+
+
+### Framework versions
+
+- Transformers 4.31.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.13.1
+- Tokenizers 0.13.3