End of training

README.md

@@ -1,18 +1,18 @@
 ---
+license: apache-2.0
 base_model: facebook/wav2vec2-large-xlsr-53
+tags:
+- generated_from_trainer
 datasets:
 - common_voice_17_0
-license: apache-2.0
 metrics:
 - wer
-tags:
-- generated_from_trainer
 model-index:
 - name: wav2vec2-large-xlsr-Mongolian-cv17-base
   results:
   - task:
-      type: automatic-speech-recognition
       name: Automatic Speech Recognition
+      type: automatic-speech-recognition
     dataset:
       name: common_voice_17_0
       type: common_voice_17_0
@@ -20,9 +20,9 @@ model-index:
       split: validation
       args: mn
     metrics:
-    - type: wer
-      value: 1.0
-      name: Wer
+    - name: Wer
+      type: wer
+      value: 0.7902951968892054
 ---
 
 <!-- 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-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_17_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.9885
-- Wer: 1.0
+- Loss: 0.9632
+- Wer: 0.7903
 
 ## Model description
 
@@ -66,9 +66,24 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch   | Step | Validation Loss | Wer |
-|:-------------:|:-------:|:----:|:---------------:|:---:|
-| 4.7346        | 11.9403 | 400  | 2.9885          | 1.0 |
+| Training Loss | Epoch   | Step | Validation Loss | Wer    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|
+| No log        | 1.1940  | 40   | 13.1486         | 1.0009 |
+| No log        | 2.3881  | 80   | 7.6639          | 1.0    |
+| No log        | 3.5821  | 120  | 3.4345          | 1.0    |
+| No log        | 4.7761  | 160  | 3.1527          | 1.0    |
+| No log        | 5.9701  | 200  | 3.1223          | 1.0    |
+| No log        | 7.1642  | 240  | 3.1137          | 1.0    |
+| No log        | 8.3582  | 280  | 3.1017          | 1.0    |
+| No log        | 9.5522  | 320  | 3.0909          | 1.0    |
+| No log        | 10.7463 | 360  | 3.0363          | 1.0    |
+| 5.1112        | 11.9403 | 400  | 2.8364          | 1.0    |
+| 5.1112        | 13.1343 | 440  | 2.0134          | 1.0078 |
+| 5.1112        | 14.3284 | 480  | 1.3866          | 1.0511 |
+| 5.1112        | 15.5224 | 520  | 1.1292          | 0.9320 |
+| 5.1112        | 16.7164 | 560  | 1.0117          | 0.9017 |
+| 5.1112        | 17.9104 | 600  | 0.9756          | 0.8339 |
+| 5.1112        | 19.1045 | 640  | 0.9632          | 0.7903 |
 
 
 ### Framework versions