update model card README.md

README.md

@@ -1,41 +1,38 @@
 ---
-language:
-- es
 license: apache-2.0
 tags:
-- whisper-event
 - generated_from_trainer
 datasets:
-- mozilla-foundation/common_voice_11_0
+- common_voice_11_0
 metrics:
 - wer
 model-index:
-- name: Whisper Small Spanish
+- name: juancopi81/whisper-medium-es
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: mozilla-foundation/common_voice_11_0 es
-      type: mozilla-foundation/common_voice_11_0
+      name: common_voice_11_0
+      type: common_voice_11_0
       config: es
       split: test
       args: es
     metrics:
     - name: Wer
       type: wer
-      value: 5.696169637752716
+      value: 95.61808118081181
 ---
 
 <!-- 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 Spanish
+# juancopi81/whisper-medium-es
 
-This model is a fine-tuned version of [juancopi81/whisper-medium-es-train-valid-bs-64](https://huggingface.co/juancopi81/whisper-medium-es-train-valid-bs-64) on the mozilla-foundation/common_voice_11_0 es dataset.
+This model is a fine-tuned version of [juancopi81/whisper-medium-es](https://huggingface.co/juancopi81/whisper-medium-es) on the common_voice_11_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1700
-- Wer: 5.6962
+- Loss: 0.2338
+- Wer: 95.6181
 
 ## Model description
 
@@ -54,21 +51,21 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-07
+- learning_rate: 3e-05
 - train_batch_size: 64
 - eval_batch_size: 32
 - seed: 42
 - distributed_type: multi-GPU
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 100
-- training_steps: 500
+- lr_scheduler_warmup_steps: 10
+- training_steps: 100
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.1665        | 1.03  | 500  | 0.1700          | 5.6962 |
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.1432        | 1.0   | 100  | 0.2338          | 95.6181 |
 
 
 ### Framework versions