End of training

README.md

@@ -8,17 +8,34 @@ tags:
 - generated_from_trainer
 datasets:
 - tericlabs
+metrics:
+- wer
 model-index:
 - name: Whisper base Luganda
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Sunbird
+      type: tericlabs
+    metrics:
+    - name: Wer
+      type: wer
+      value: 40.80100125156446
 ---
 
 <!-- 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. -->
 
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/ai-research-lab/huggingface/runs/p2aegccn)
 # Whisper base Luganda
 
 This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on the Sunbird dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6134
+- Wer: 40.8010
+- Cer: 10.6921
 
 ## Model description
 
@@ -49,6 +66,16 @@ The following hyperparameters were used during training:
 - training_steps: 4000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer     | Cer     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|:-------:|
+| 0.3459        | 6.3694  | 1000 | 0.5885          | 45.1815 | 14.4972 |
+| 0.0532        | 12.7389 | 2000 | 0.5441          | 38.6733 | 10.0723 |
+| 0.0108        | 19.1083 | 3000 | 0.6118          | 39.9249 | 10.2789 |
+| 0.0044        | 25.4777 | 4000 | 0.6134          | 40.8010 | 10.6921 |
+
+
 ### Framework versions
 
 - Transformers 4.42.0.dev0

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:df1b0bedb197681c2821b868c33e6d9740111ff00c9b0d24c1df843272750417
 size 290401888