Model save

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.36626096801585056
+      value: 0.3560713274837249
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [mouseyy/result_data-1](https://huggingface.co/mouseyy/result_data-1) on the common_voice_17_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2237
-- Wer: 0.3663
-- Cer: 0.1697
+- Loss: 0.2354
+- Wer: 0.3561
+- Cer: 0.1687
 
 ## Model description
 
@@ -54,7 +54,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2.1500224030495643e-05
+- learning_rate: 1.7029909432213465e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -64,12 +64,19 @@ The following hyperparameters were used during training:
 - total_eval_batch_size: 32
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 282
-- training_steps: 10
+- lr_scheduler_warmup_steps: 95
+- num_epochs: 5.0
 - mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch  | Step | Validation Loss | Wer    | Cer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|:------:|
+| 0.2145        | 0.9099 | 1000 | 0.2450          | 0.3677 | 0.1717 |
+| 0.2083        | 1.8198 | 2000 | 0.2324          | 0.3657 | 0.1708 |
+| 0.1853        | 2.7298 | 3000 | 0.2309          | 0.3583 | 0.1682 |
+| 0.1872        | 3.6397 | 4000 | 0.2347          | 0.3558 | 0.1689 |
+| 0.17          | 4.5496 | 5000 | 0.2354          | 0.3561 | 0.1687 |
 
 
 ### Framework versions