Update README.md

README.md

@@ -26,10 +26,10 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 0.08040489847285752
+         value: 0.06771703090587865
        - name: Test CER
          type: cer
-         value: 0.02745409135817121
+         value: 0.021007777843712293
   - task: 
       name: Speech Recognition
       type: automatic-speech-recognition
@@ -40,10 +40,10 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 0.05763423147821312
+         value: 0.05565360630662431
        - name: Test CER
          type: cer
-         value: 0.019116372518121653
+         value: 0.018594390167034354
   - task: 
       name: Speech Recognition
       type: automatic-speech-recognition
@@ -54,10 +54,10 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 0.13993147784578666
+         value: 0.1353312545713516
        - name: Test CER
          type: cer
-         value: 0.08941471299857044
+         value: 0.08684635913340556
   - task: 
       name: Speech Recognition
       type: automatic-speech-recognition
@@ -68,16 +68,13 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 0.26797799000695716
+         value: 0.2604515843400164
        - name: Test CER
          type: cer
-         value: 0.15358004827031377
+         value: 0.15056890012642224
 ---
 
-<!-- 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. -->
-
-# wav2vec2-xls-r-300m-ca
+# wav2vec2-xls-r-300m-ca-lm
 
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - CA, the [tv3_parla](https://huggingface.co/datasets/collectivat/tv3_parla) and [parlament_parla](https://huggingface.co/datasets/projecte-aina/parlament_parla) datasets.
 It achieves the following results on the evaluation set (for the three datasets and without the LM):
@@ -86,7 +83,7 @@ It achieves the following results on the evaluation set (for the three datasets
 
 ## Model description
 
-Please check the original [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) Model card. This is just a finetuned version of that model.
+Please check the original [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) Model card. This is just a finetuned version of that model.
 
 ## Intended uses & limitations