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 pt - Michel Mesquita
-  results: []
+- name: Whisper small pt - Michel Mesquita
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      config: pt
+      split: None
+      args: 'config: pt, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 14.030072898871843
 ---
 
 <!-- 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 pt - Michel Mesquita
+# Whisper small pt - Michel Mesquita
 
 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: 0.2201
+- Wer: 14.0301
 
 ## Model description
 
@@ -43,11 +61,17 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 250
+- training_steps: 4000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.2069        | 0.5945 | 1000 | 0.2420          | 15.9329 |
+| 0.1067        | 1.1891 | 2000 | 0.2266          | 15.0652 |
+| 0.0895        | 1.7836 | 3000 | 0.2160          | 14.4089 |
+| 0.0462        | 2.3781 | 4000 | 0.2201          | 14.0301 |
 
 
 ### Framework versions