update model card README.md

README.md

@@ -1,38 +1,41 @@
 ---
+language:
+- eu
 license: apache-2.0
 tags:
+- whisper-event
 - generated_from_trainer
 datasets:
-- common_voice_13_0
+- mozilla-foundation/common_voice_13_0
 metrics:
 - wer
 model-index:
-- name: openai/whisper-small
+- name: Whisper Small Basque
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: common_voice_13_0
-      type: common_voice_13_0
+      name: mozilla-foundation/common_voice_13_0 eu
+      type: mozilla-foundation/common_voice_13_0
       config: eu
       split: test
       args: eu
     metrics:
     - name: Wer
       type: wer
-      value: 18.83024828871157
+      value: 18.775568066750374
 ---
 
 <!-- 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. -->
 
-# openai/whisper-small
+# Whisper Small Basque
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_13_0 dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_13_0 eu dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3914
-- Wer: 18.8302
+- Loss: 0.3812
+- Wer: 18.7756
 
 ## Model description
 

nohup.out

@@ -33957,3 +33957,17 @@ To https://huggingface.co/xezpeleta/whisper-small-eu-v2
 [INFO|configuration_utils.py:447] 2023-07-20 19:24:05,011 >> Configuration saved in ./config.json
 [INFO|modeling_utils.py:1693] 2023-07-20 19:24:06,334 >> Model weights saved in ./pytorch_model.bin
 [INFO|feature_extraction_utils.py:368] 2023-07-20 19:24:06,347 >> Feature extractor saved in ./preprocessor_config.json
+***** eval metrics *****
+  epoch                   =      12.01
+  eval_loss               =     0.3812
+  eval_runtime            = 0:15:51.95
+  eval_samples_per_second =      6.924
+  eval_steps_per_second   =      0.433
+  eval_wer                =    18.7756
+
+   6d7e844..53e38ec  main -> main
+
+07/20/2023 19:24:13 - WARNING - huggingface_hub.repository - To https://huggingface.co/xezpeleta/whisper-small-eu-v2
+   6d7e844..53e38ec  main -> main
+
+