clt013
/

whisper-small-ft-malay-test-3

@@ -1,199 +1,82 @@
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 ---
+language:
+- ms
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+  - generated_from_trainer
+datasets:
+  - clt013/malay-speech-3k-rows-dataset
+metrics:
+  - wer
+model-index:
+- name: Whisper Small FT Malay - CLT013
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Malay Speech 3k
+      type: clt013/malay-speech-3k-rows-dataset
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Wer
+      type: wer
+      value: 27.169943
+---
 ---
+# Whisper Large v3 FT Malay - CLT013
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Malay Speech 3k dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.545344
+- Wer: 27.169943
+## 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: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+### Training results
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.7275        | 0.1   | 100  | 0.677592        | 38.9111 |
+| 0.521         | 0.2   | 200  | 0.565486        | 36.6151 |
+| 0.3128        | 0.3   | 300  | 0.525294        | 29.7965 |
+| 0.2964        | 0.4   | 400  | 0.500519        | 35.2235 |
+| 0.1631        | 0.5   | 500  | 0.508256        | 36.2845 |
+| 0.0731        | 0.6   | 600  | 0.532225        | 38.4414 |
+| 0.0548        | 0.7   | 700  | 0.519905        | 27.2743 |
+| 0.0289        | 0.8   | 800  | 0.533013        | 27.6917 |
+| 0.0131        | 0.9   | 900  | 0.548259        | 26.9090 |
+| 0.0071        | 1.0   | 1000 | 0.545344        | 27.1699 |
+### Framework versions
+- Transformers 4.41.2
+- Datasets 2.19.1
+- Tokenizers 0.19.1