update model card README.md

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: facebook/wav2vec2-xls-r-300m
+base_model: facebook/wav2vec2-large-xlsr-53
 tags:
 - generated_from_trainer
 datasets:
@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.3604325936975573
+      value: 0.3320902479955249
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,11 +30,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Model_G_Wav2Vec2_Version3
 
-This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4581
-- Wer: 0.3604
-- Cer: 0.0922
+- Loss: 0.4863
+- Wer: 0.3321
+- Cer: 0.0851
 
 ## Model description
 
@@ -68,11 +68,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
-| 3.8299        | 5.97  | 400  | 0.7799          | 0.6921 | 0.1952 |
-| 0.3573        | 11.94 | 800  | 0.4949          | 0.4799 | 0.1235 |
-| 0.1567        | 17.91 | 1200 | 0.4528          | 0.4228 | 0.1092 |
-| 0.1011        | 23.88 | 1600 | 0.4695          | 0.3877 | 0.0993 |
-| 0.0707        | 29.85 | 2000 | 0.4581          | 0.3604 | 0.0922 |
+| 3.7935        | 5.97  | 400  | 0.6443          | 0.6220 | 0.1605 |
+| 0.2843        | 11.94 | 800  | 0.5294          | 0.4286 | 0.1090 |
+| 0.1364        | 17.91 | 1200 | 0.4766          | 0.3774 | 0.0969 |
+| 0.0914        | 23.88 | 1600 | 0.4960          | 0.3408 | 0.0880 |
+| 0.0662        | 29.85 | 2000 | 0.4863          | 0.3321 | 0.0851 |
 
 
 ### Framework versions