End of training

README.md

@@ -8,17 +8,36 @@ tags:
 - generated_from_trainer
 datasets:
 - mozilla-foundation/common_voice_13_0
+metrics:
+- wer
 model-index:
-- name: whisper-small-ar-test
-  results: []
+- name: whisper-small-AR-test
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 13
+      type: mozilla-foundation/common_voice_13_0
+      config: ar
+      split: test
+      args: ar
+    metrics:
+    - name: Wer
+      type: wer
+      value: 61.831362896609235
 ---
 
 <!-- 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-ar-test
+# whisper-small-AR-test
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4490
+- Wer Ortho: 52.5825
+- Wer: 61.8314
 
 ## Model description
 
@@ -47,6 +66,13 @@ The following hyperparameters were used during training:
 - training_steps: 500
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
+| 0.2184        | 0.2839 | 500  | 0.4490          | 52.5825   | 61.8314 |
+
+
 ### Framework versions
 
 - Transformers 4.51.3