End of training

README.md

@@ -5,9 +5,24 @@ tags:
 - generated_from_trainer
 datasets:
 - common_voice_13_0
+metrics:
+- wer
 model-index:
 - name: wav2vec2-large-xls-r-vi-colab
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_13_0
+      type: common_voice_13_0
+      config: vi
+      split: test[:25%]
+      args: vi
+    metrics:
+    - name: Wer
+      type: wer
+      value: 1.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
 # wav2vec2-large-xls-r-vi-colab
 
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the common_voice_13_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.5646
+- Wer: 1.0
 
 ## Model description
 
@@ -46,6 +64,13 @@ The following hyperparameters were used during training:
 - num_epochs: 30
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer |
+|:-------------:|:-------:|:----:|:---------------:|:---:|
+| 3.4682        | 17.7778 | 400  | 3.5646          | 1.0 |
+
+
 ### Framework versions
 
 - Transformers 4.41.2

model.safetensors

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