End of training

README.md

@@ -20,7 +20,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.4850090912607838
+      value: 0.49680838717165077
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,9 +30,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on the common_voice_13_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6352
-- Wer: 0.4850
-- Cer: 0.2045
+- Loss: 0.6632
+- Wer: 0.4968
+- Cer: 0.2099
 
 ## Model description
 
@@ -57,7 +57,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - gradient_accumulation_steps: 2
 - total_train_batch_size: 16
-- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
+- optimizer: Adam with betas=(0.85,0.9) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 5
@@ -67,11 +67,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
-| 2.2192        | 1.0   | 341  | 0.6603          | 0.5302 | 0.2229 |
-| 0.3189        | 2.0   | 683  | 0.6316          | 0.5287 | 0.2295 |
-| 0.2507        | 3.0   | 1024 | 0.6513          | 0.5032 | 0.2141 |
-| 0.2076        | 4.0   | 1366 | 0.6459          | 0.5038 | 0.2131 |
-| 0.1711        | 4.99  | 1705 | 0.6352          | 0.4850 | 0.2045 |
+| 1.9625        | 1.0   | 341  | 0.7371          | 0.5348 | 0.2190 |
+| 0.2156        | 2.0   | 683  | 0.7057          | 0.5103 | 0.2169 |
+| 0.2451        | 3.0   | 1024 | 0.6654          | 0.5161 | 0.2214 |
+| 0.199         | 4.0   | 1366 | 0.6707          | 0.5089 | 0.2153 |
+| 0.1657        | 4.99  | 1705 | 0.6632          | 0.4968 | 0.2099 |
 
 
 ### Framework versions