update model card README.md

README.md

@@ -1,38 +1,41 @@
 ---
+language:
+- be
 license: apache-2.0
 tags:
+- whisper-event
 - generated_from_trainer
 datasets:
-- common_voice_11_0
+- mozilla-foundation/common_voice_11_0
 metrics:
 - wer
 model-index:
-- name: whisper-tiny-be-test
+- name: Whisper Small Belarusian
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: common_voice_11_0
-      type: common_voice_11_0
+      name: mozilla-foundation/common_voice_11_0 be
+      type: mozilla-foundation/common_voice_11_0
       config: be
       split: validation
       args: be
     metrics:
     - name: Wer
       type: wer
-      value: 55.67765567765568
+      value: 55.12820512820513
 ---
 
 <!-- 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-tiny-be-test
+# Whisper Small Belarusian
 
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the common_voice_11_0 dataset.
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_11_0 be dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5387
-- Wer: 55.6777
+- Loss: 0.5382
+- Wer: 55.1282
 
 ## Model description
 

train.log

@@ -64,3 +64,11 @@
   train_runtime            = 0:07:31.44
   train_samples_per_second =     10.633
   train_steps_per_second   =      0.332
+***** eval metrics *****
+  epoch                   =       0.33
+  eval_loss               =     0.5382
+  eval_runtime            = 0:00:19.01
+  eval_samples            =         64
+  eval_samples_per_second =      3.366
+  eval_steps_per_second   =      0.105
+  eval_wer                =    55.1282