update model card README.md

README.md

@@ -7,9 +7,22 @@ tags:
 - generated_from_trainer
 datasets:
 - Drazcat/Cencosud
+metrics:
+- wer
 model-index:
 - name: Whisper Small Es - GoCloud
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: 30seg
+      type: Drazcat/Cencosud
+      args: 'config: es, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,6 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper Small Es - GoCloud
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the 30seg dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0028
+- Wer: 0.0
 
 ## Model description
 
@@ -37,17 +53,23 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 16
+- train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 500
+- lr_scheduler_warmup_steps: 25
 - training_steps: 200
 - mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.2944        | 5.56  | 50   | 0.1392          | 79.6117 |
+| 0.08          | 11.11 | 100  | 0.0569          | 46.0472 |
+| 0.0204        | 16.67 | 150  | 0.0086          | 0.0     |
+| 0.0028        | 22.22 | 200  | 0.0028          | 0.0     |
 
 
 ### Framework versions