Update README.md

README.md

@@ -1,6 +1,6 @@
 ---
 language:
-- hi
+- it
 license: apache-2.0
 tags:
 - hf-asr-leaderboard
@@ -10,7 +10,7 @@ datasets:
 metrics:
 - wer
 model-index:
-- name: Whisper Small Hi - Sanchit Gandhi
+- name: Whisper Small It - Gianluca Ruberto
   results:
   - task:
       name: Automatic Speech Recognition
@@ -27,30 +27,30 @@ model-index:
       value: 22.108985024958404
 ---
 
-<!-- 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 Hi - Sanchit Gandhi
+# Whisper Small It - Gianluca Ruberto
 
 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: 0.3940
-- Wer: 22.1090
+- Loss: 0.393979	
+- Wer: 22.108985
 
 ## Model description
 
-More information needed
+This model is the openai whisper small transformer adapted for Italian audio to text transcription.
 
 ## Intended uses & limitations
 
-More information needed
+The model is available through its [HuggingFace web app](https://huggingface.co/spaces/GIanlucaRub/whisper-it)
 
 ## Training and evaluation data
 
-More information needed
+Data used for training is the initial 10% of train and validation of [Italian Common Voice](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0/viewer/it/train) 11.0 from Mozilla Foundation.
 
 ## Training procedure
 
+After loading the pre trained model, it has been trained on the dataset.
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training: