update model card README.md

README.md

@@ -1,7 +1,10 @@
 ---
 license: apache-2.0
+base_model: facebook/wav2vec2-large-xlsr-53
 tags:
 - generated_from_trainer
+metrics:
+- wer
 model-index:
 - name: Model_S_Berita_Wav2Vec2
   results: []
@@ -12,11 +15,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Model_S_Berita_Wav2Vec2
 
-This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0734
-- Wer: 0.0937
-- Cer: 0.0149
+- Loss: 0.0798
+- Wer: 0.1014
+- Cer: 0.0151
 
 ## Model description
 
@@ -45,19 +48,18 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
 - num_epochs: 30
-- mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
-| 3.6802        | 12.5  | 400  | 0.3269          | 0.4301 | 0.0743 |
-| 0.1241        | 25.0  | 800  | 0.0734          | 0.0937 | 0.0149 |
+| 3.4351        | 12.5  | 400  | 0.2264          | 0.3161 | 0.0498 |
+| 0.0864        | 25.0  | 800  | 0.0798          | 0.1014 | 0.0151 |
 
 
 ### Framework versions
 
-- Transformers 4.11.3
-- Pytorch 1.10.0+cu113
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu117
 - Datasets 1.18.3
-- Tokenizers 0.10.3
+- Tokenizers 0.13.3