ntnu-smil
/

whisper-large-v3-turbo-augmented-merged

@@ -1,199 +1,86 @@
 ---
 library_name: transformers
-tags: []
 ---
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 ---
 library_name: transformers
+language:
+- en
+license: mit
+base_model: openai/whisper-large-v3-turbo
+tags:
+- wft
+- whisper
+- automatic-speech-recognition
+- audio
+- speech
+- generated_from_trainer
+datasets:
+- ntnu-smil/lttc-augmented-ft-1
+metrics:
+- wer
+model-index:
+- name: whisper-large-v3-turbo-augmented
+  results:
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: ntnu-smil/lttc-augmented-ft-1
+      type: ntnu-smil/lttc-augmented-ft-1
+    metrics:
+    - type: wer
+      value: 32.36001374098248
+      name: Wer
 ---
+<!-- 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-large-v3-turbo-augmented
+This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the ntnu-smil/lttc-augmented-ft-1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3566
+- Wer: 32.3600
+- Cer: 18.4747
+## 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: 0.0005
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 5
+### Training results
+| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| 0.0483        | 1.0   | 190  | 1.2801          | 35.8640 | 20.7045 |
+| 0.0503        | 2.0   | 380  | 1.3510          | 32.5318 | 20.3283 |
+| 0.0033        | 3.0   | 570  | 1.2776          | 39.3336 | 22.9891 |
+| 0.0007        | 4.0   | 760  | 1.3057          | 32.6692 | 18.6594 |
+| 0.0002        | 5.0   | 950  | 1.3566          | 32.3600 | 18.4747 |
+### Framework versions
+- PEFT 0.14.0
+- Transformers 4.47.0
+- Pytorch 2.2.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.21.0