update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- wer
+- precision
+- recall
+model-index:
+- name: whisper-base-oshiwambo-speech
+  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-oshiwambo-speech
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0834
+- Wer: 80.9524
+- Cer: 58.9623
+- Word Acc: 82.2917
+- Sent Acc: 54.2857
+- Precision: 0.5097
+- Recall: 0.7524
+- F1 Score: 0.6077
+
+## 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: 100
+- training_steps: 10000
+
+### Training results
+
+| Training Loss | Epoch   | Step  | Validation Loss | Wer     | Cer     | Word Acc | Sent Acc | Precision | Recall | F1 Score |
+|:-------------:|:-------:|:-----:|:---------------:|:-------:|:-------:|:--------:|:--------:|:---------:|:------:|:--------:|
+| 0.0099        | 117.65  | 1000  | 0.0777          | 46.6667 | 31.6038 | 69.1358  | 11.4286  | 0.6914    | 0.5333 | 0.6022   |
+| 0.0105        | 235.29  | 2000  | 0.0806          | 47.6190 | 33.2547 | 71.4286  | 11.4286  | 0.7143    | 0.5238 | 0.6044   |
+| 0.0106        | 352.94  | 3000  | 0.0795          | 44.7619 | 34.6698 | 76.3158  | 25.7143  | 0.7632    | 0.5524 | 0.6409   |
+| 0.0092        | 470.59  | 4000  | 0.0793          | 42.8571 | 35.8491 | 81.0811  | 31.4286  | 0.8108    | 0.5714 | 0.6704   |
+| 0.0099        | 588.24  | 5000  | 0.0806          | 92.3810 | 69.8113 | 81.7073  | 42.8571  | 0.4752    | 0.6381 | 0.5447   |
+| 0.0094        | 705.88  | 6000  | 0.0800          | 28.5714 | 22.1698 | 83.3333  | 48.5714  | 0.8333    | 0.7143 | 0.7692   |
+| 0.0093        | 823.53  | 7000  | 0.0796          | 24.7619 | 16.2736 | 82.2917  | 54.2857  | 0.8229    | 0.7524 | 0.7861   |
+| 0.0095        | 941.18  | 8000  | 0.0815          | 82.8571 | 59.1981 | 80.2083  | 51.4286  | 0.4968    | 0.7333 | 0.5923   |
+| 0.01          | 1058.82 | 9000  | 0.0815          | 24.7619 | 16.5094 | 82.2917  | 54.2857  | 0.8229    | 0.7524 | 0.7861   |
+| 0.0088        | 1176.47 | 10000 | 0.0834          | 80.9524 | 58.9623 | 82.2917  | 54.2857  | 0.5097    | 0.7524 | 0.6077   |
+
+
+### Framework versions
+
+- Transformers 4.30.0.dev0
+- Pytorch 2.0.0
+- Datasets 2.12.0
+- Tokenizers 0.13.3