End of training

README.md

@@ -7,17 +7,35 @@ tags:
 - generated_from_trainer
 datasets:
 - mozilla-foundation/common_voice_11_0
+metrics:
+- wer
 model-index:
-- name: Whisper Small En 2
-  results: []
+- name: Whisper Small En 3
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 3.0
+      type: mozilla-foundation/common_voice_11_0
+      config: en
+      split: None
+      args: 'config: hi, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 361.776131866536
 ---
 
 <!-- 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 En 2
+# Whisper Small En 3
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 3.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3916
+- Wer: 361.7761
 
 ## Model description
 
@@ -46,6 +64,16 @@ The following hyperparameters were used during training:
 - training_steps: 4000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer      |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5756        | 1.34  | 1000 | 0.2520          | 187.0784 |
+| 0.3595        | 2.67  | 2000 | 0.2722          | 359.6159 |
+| 0.3034        | 4.01  | 3000 | 0.3342          | 304.8905 |
+| 0.1605        | 5.34  | 4000 | 0.3916          | 361.7761 |
+
+
 ### Framework versions
 
 - Transformers 4.39.3