Update README.md

README.md

@@ -10,7 +10,7 @@ datasets:
 metrics:
 - wer
 model-index:
-- name: Whisper Tiny it 6
+- name: Whisper Tiny it 7
   results:
   - task:
       name: Automatic Speech Recognition
@@ -26,7 +26,7 @@ model-index:
       type: wer
       value: 97.56655574043262)
 ---
-# Whisper Tiny it 6
+# Whisper Tiny it 7
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 2.137834		
@@ -36,7 +36,7 @@ It achieves the following results on the evaluation set:
 
 This model is the openai whisper small transformer adapted for Italian audio to text transcription. 
 As part of the hyperparameter tuning process weight decay set to 0.1, attention dropout, encoder dropout and decoder dropout have been set to 0.1,
-the learning rate has been set to 1e-5, the number of decoder attention heads and encoder attention heads have been set to 8
+the learning rate has been set to 1e-6, the number of decoder attention heads and encoder attention heads have been set to 8
 however, it did not improved the performance on the evaluation set.
 
 ## Intended uses & limitations
@@ -56,7 +56,7 @@ After loading the pre trained model, it has been trained on the dataset.
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 1e-06
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42