banglabridge
/

base-bn-lora-adapter

@@ -1,199 +1,88 @@
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 ---
+library_name: peft
+datasets:
+- mozilla-foundation/common_voice_17_0
+language:
+- bn
+base_model:
+- openai/whisper-base
+license: apache-2.0
+metrics:
+- wer
+pipeline_tag: automatic-speech-recognition
+model-index:
+- name: Whisper Base Bn LoRA Adapter - BanglaBridge
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 17.0
+      type: mozilla-foundation/common_voice_17_0
+      config: bn
+      split: None
+      args: 'config: bn, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 22.56397
 ---
+# Whisper Base Bn LoRA Adapter - by BanglaBridge
+This model is a PEFT LoRA fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 17.0 dataset.
+It achieves the following results on the test set:
+- Wer: 44.93734
+- Normalized Wer: 22.56397
+### Training hyperparameters
+The following hyperparameters were used during training:
+- learning_rate: 1e-03
+- train_batch_size: 32
+- eval_batch_size: 32
+- warmup_steps: 500
+- training_steps: 20000
+LoraConfig:
+- r: 32
+- lora_alpha: 64
+- target_modules: `["q_proj", "v_proj"]`
+- lora_dropout: 0.005
+- bias: none
+### Training results
+| Step   | Training Loss | Validation Loss |
+|:------:|:-------------:|:---------------:|
+| 1000	 | 0.240200 	 | 0.251211        |
+| 2000	 | 0.178700 	 | 0.210411        |
+| 3000	 | 0.150000 	 | 0.193197        |
+| 4000	 | 0.122500 	 | 0.184060        |
+| 5000	 | 0.122300 	 | 0.177079        |
+| 6000	 | 0.097100 	 | 0.181073        |
+| 7000	 | 0.095800 	 | 0.175566        |
+| 8000	 | 0.071400 	 | 0.173997        |
+| 9000	 | 0.082600 	 | 0.175677        |
+| 10000	 | 0.064400 	 | 0.178262        |
+| 11000	 | 0.064700 	 | 0.177943        |
+| 12000	 | 0.046900 	 | 0.185763        |
+| 13000	 | 0.047200 	 | 0.186843        |
+| 14000	 | 0.037500 	 | 0.193575        |
+| 15000	 | 0.036000 	 | 0.199084        |
+| 16000	 | 0.027500 	 | 0.208745        |
+| 17000	 | 0.025200 	 | 0.215685        |
+| 18000	 | 0.017400 	 | 0.227938        |
+| 19000	 | 0.016500 	 | 0.236160        |
+| 20000	 | 0.013000 	 | 0.240447        |
+### Framework versions
+- Transformers 4.40.2
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.1
+- Tokenizers 0.19.1
+- Peft 0.10.0