End of training

README.md

@@ -2,19 +2,19 @@
 language:
 - fr
 license: apache-2.0
+base_model: facebook/wav2vec2-large-xlsr-53
 tags:
 - generated_from_trainer
-base_model: facebook/wav2vec2-large-xlsr-53
 datasets:
 - mozilla-foundation/common_voice_17_0
 metrics:
 - wer
 model-index:
-- name: acoustic_model0_cv_17_fr_XLSR-53
+- name: acoustic_model2_cv_17_fr_XLSR-53
   results:
   - task:
-      type: automatic-speech-recognition
       name: Automatic Speech Recognition
+      type: automatic-speech-recognition
     dataset:
       name: Common Voice 17
       type: mozilla-foundation/common_voice_17_0
@@ -22,20 +22,20 @@ model-index:
       split: test
       args: fr
     metrics:
-    - type: wer
-      value: 0.46428149722517414
-      name: Wer
+    - name: Wer
+      type: wer
+      value: 0.9923249498169796
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# acoustic_model0_cv_17_fr_XLSR-53
+# acoustic_model2_cv_17_fr_XLSR-53
 
 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 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5171
-- Wer: 0.4643
+- Loss: nan
+- Wer: 0.9923
 
 ## Model description
 
@@ -63,16 +63,16 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 1500
+- training_steps: 1200
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer    |
 |:-------------:|:------:|:----:|:---------------:|:------:|
-| 3.0475        | 2.084  | 400  | 2.9894          | 0.9949 |
-| 1.2413        | 5.0767 | 800  | 0.6745          | 0.5958 |
-| 0.5812        | 8.0693 | 1200 | 0.5171          | 0.4643 |
+| 16.0974       | 2.105  | 400  | nan             | 0.9923 |
+| 0.0           | 5.0958 | 800  | nan             | 0.9923 |
+| 0.0           | 8.0867 | 1200 | nan             | 0.9923 |
 
 
 ### Framework versions