End of training

README.md

@@ -8,17 +8,35 @@ tags:
 - generated_from_trainer
 datasets:
 - mozilla-foundation/common_voice_11_0
+metrics:
+- wer
 model-index:
-- name: Whisper Medium Tr - v0
-  results: []
+- name: Whisper Medium Tr - v1
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      config: tr
+      split: None
+      args: tr
+    metrics:
+    - name: Wer
+      type: wer
+      value: 97.03703703703704
 ---
 
 <!-- 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 Medium Tr - v0
+# Whisper Medium Tr - v1
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6993
+- Wer: 97.0370
 
 ## Model description
 
@@ -49,6 +67,14 @@ The following hyperparameters were used during training:
 - training_steps: 100
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|
+| 0.0071        | 24.2424 | 50   | 2.6869          | 97.4074 |
+| 0.0           | 48.4848 | 100  | 2.6993          | 97.0370 |
+
+
 ### Framework versions
 
 - Transformers 4.42.3