End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.3361660957560861
+      value: 0.33127631200481134
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 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.
 It achieves the following results on the evaluation set:
-- Loss: 0.2194
-- Wer: 0.3362
+- Loss: 0.2181
+- Wer: 0.3313
 
 ## Model description
 
@@ -67,14 +67,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 3.6274        | 0.85  | 400  | 0.6809          | 0.8263 |
-| 0.3745        | 1.7   | 800  | 0.2890          | 0.4333 |
-| 0.1808        | 2.56  | 1200 | 0.2194          | 0.3362 |
+| 3.6574        | 0.85  | 400  | 0.6723          | 0.7745 |
+| 0.4151        | 1.7   | 800  | 0.2921          | 0.4441 |
+| 0.2202        | 2.56  | 1200 | 0.2181          | 0.3313 |
 
 
 ### Framework versions
 
-- Transformers 4.31.0
+- Transformers 4.32.0
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.4
 - Tokenizers 0.13.3

pytorch_model.bin

@@ -1,3 +1,3 @@
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 size 1262037165