End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: EzraWilliam/XLS-R-demo-google-colab-Ezra_William_Prod_3
+base_model: facebook/wav2vec2-large-xlsr-53
 tags:
 - generated_from_trainer
 datasets:
@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.5589213319364096
+      value: 0.697900059217419
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # XLS-R-demo-google-colab-Ezra_William_Prod_3
 
-This model is a fine-tuned version of [EzraWilliam/XLS-R-demo-google-colab-Ezra_William_Prod_3](https://huggingface.co/EzraWilliam/XLS-R-demo-google-colab-Ezra_William_Prod_3) on the common_voice_13_0 dataset.
+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_13_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6384
-- Wer: 0.5589
+- Loss: 0.7896
+- Wer: 0.6979
 
 ## Model description
 
@@ -58,23 +58,25 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 12
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 2.1618        | 1.0   | 121  | 1.3936          | 0.9716 |
-| 1.4458        | 2.0   | 242  | 0.9181          | 0.7821 |
-| 1.0146        | 3.0   | 363  | 0.7892          | 0.7048 |
-| 0.8449        | 4.0   | 484  | 0.7344          | 0.6507 |
-| 0.652         | 5.0   | 605  | 0.6840          | 0.6268 |
-| 0.593         | 6.0   | 726  | 0.6598          | 0.5980 |
-| 0.5549        | 7.0   | 847  | 0.6494          | 0.5817 |
-| 0.5206        | 8.0   | 968  | 0.6572          | 0.5759 |
-| 0.4958        | 9.0   | 1089 | 0.6376          | 0.5646 |
-| 0.4683        | 10.0  | 1210 | 0.6384          | 0.5589 |
+| 5.4479        | 1.0   | 121  | 2.9741          | 1.0    |
+| 2.9543        | 2.0   | 242  | 2.9297          | 1.0    |
+| 2.9306        | 3.0   | 363  | 2.9112          | 1.0    |
+| 2.9216        | 4.0   | 484  | 2.9071          | 1.0    |
+| 2.8968        | 5.0   | 605  | 2.8713          | 1.0    |
+| 2.8822        | 6.0   | 726  | 2.8446          | 1.0    |
+| 2.8421        | 7.0   | 847  | 2.5157          | 1.0    |
+| 2.5763        | 8.0   | 968  | 1.5780          | 0.9964 |
+| 1.9449        | 9.0   | 1089 | 0.9864          | 0.8132 |
+| 1.0398        | 10.0  | 1210 | 0.8565          | 0.7348 |
+| 0.9162        | 11.0  | 1331 | 0.7941          | 0.7043 |
+| 0.8909        | 12.0  | 1452 | 0.7896          | 0.6979 |
 
 
 ### Framework versions

runs/Jul07_01-33-37_c1c2332a6790/events.out.tfevents.1720316069.c1c2332a6790.159.0

@@ -1,3 +1,3 @@
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-size 13029
+oid sha256:0cd6ada4c7d01a3b2e80882ea4dc88b1ee4bdfa7745168bd4b33b4019f91ad45
+size 13701