update model card README.md

README.md

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+---
+language:
+- id
+license: apache-2.0
+tags:
+- whisper-event
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Whisper small ID - Augmented
+  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 - Augmented
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3282
+- Wer: 25.8872
+
+## 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: 6
+- eval_batch_size: 6
+- seed: 42
+- gradient_accumulation_steps: 24
+- total_train_batch_size: 144
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.4684        | 0.77  | 250  | 0.4644          | 46.6638 |
+| 0.3389        | 1.55  | 500  | 0.3913          | 41.6009 |
+| 0.2009        | 2.32  | 750  | 0.3432          | 27.4754 |
+| 0.1216        | 3.09  | 1000 | 0.3282          | 25.8872 |
+
+
+### Framework versions
+
+- Transformers 4.29.0.dev0
+- Pytorch 2.0.0+cu117
+- Datasets 2.10.1
+- Tokenizers 0.13.2