pacomesimon/KinyarwandaModel

README.md

@@ -0,0 +1,85 @@
+---
+base_model: mbazaNLP/Whisper-Small-Kinyarwanda
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: whisper-small-rw
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_11_0
+      type: common_voice_11_0
+      config: rw
+      split: None
+      args: rw
+    metrics:
+    - name: Wer
+      type: wer
+      value: 33.420365535248045
+---
+
+<!-- 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-rw
+
+This model is a fine-tuned version of [mbazaNLP/Whisper-Small-Kinyarwanda](https://huggingface.co/mbazaNLP/Whisper-Small-Kinyarwanda) on the common_voice_11_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0954
+- Wer: 33.4204
+
+## 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
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 5
+- training_steps: 100
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|
+| No log        | 1.4286  | 10   | 2.3900          | 34.2037 |
+| No log        | 2.8571  | 20   | 2.3111          | 34.5953 |
+| 2.1422        | 4.2857  | 30   | 2.2492          | 34.2037 |
+| 2.1422        | 5.7143  | 40   | 2.2022          | 33.9426 |
+| 1.8742        | 7.1429  | 50   | 2.1669          | 33.8120 |
+| 1.8742        | 8.5714  | 60   | 2.1406          | 33.6815 |
+| 1.8742        | 10.0    | 70   | 2.1216          | 33.4204 |
+| 1.7608        | 11.4286 | 80   | 2.1077          | 33.2898 |
+| 1.7608        | 12.8571 | 90   | 2.0994          | 33.5509 |
+| 1.6573        | 14.2857 | 100  | 2.0954          | 33.4204 |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

generation_config.json

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+}

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