GIanlucaRub commited on
Commit
84d0abe
1 Parent(s): c27e9d2

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +7 -5
README.md CHANGED
@@ -27,8 +27,6 @@ model-index:
27
  value: 41.3546866333888
28
  ---
29
 
30
- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
31
- should probably proofread and complete it, then remove this comment. -->
32
 
33
  # Whisper Tiny it 4
34
 
@@ -39,18 +37,22 @@ It achieves the following results on the evaluation set:
39
 
40
  ## Model description
41
 
42
- More information needed
43
 
44
  ## Intended uses & limitations
45
 
46
- More information needed
47
 
48
  ## Training and evaluation data
49
 
50
- More information needed
 
 
51
 
52
  ## Training procedure
53
 
 
 
54
  ### Training hyperparameters
55
 
56
  The following hyperparameters were used during training:
 
27
  value: 41.3546866333888
28
  ---
29
 
 
 
30
 
31
  # Whisper Tiny it 4
32
 
 
37
 
38
  ## Model description
39
 
40
+ This model is the openai whisper small transformer adapted for Italian audio to text transcription. This model has weight decay set to 0.1 to cope with overfitting. The learning rate has been set to 5e-5 in the hyperparameter tuning process and it improved the performance on the evaluation set.
41
 
42
  ## Intended uses & limitations
43
 
44
+ The model is available through its [HuggingFace web app](https://huggingface.co/spaces/GIanlucaRub/whisper-it)
45
 
46
  ## Training and evaluation data
47
 
48
+ 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.
49
+ The dataset used for evaluation is the initial 10% of test of Italian Common Voice.
50
+
51
 
52
  ## Training procedure
53
 
54
+ After loading the pre trained model, it has been trained on the dataset.
55
+
56
  ### Training hyperparameters
57
 
58
  The following hyperparameters were used during training: