update model card README.md

README.md

@@ -1,6 +1,8 @@
 ---
 tags:
 - generated_from_trainer
+metrics:
+- wer
 model-index:
 - name: Model_G_S_P_Wav2Vec2
   results: []
@@ -13,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.4856
-- Wer: 0.5755
-- Cer: 0.2446
+- Loss: 2.4056
+- Wer: 0.5800
+- Cer: 0.2434
 
 ## Model description
 
@@ -44,24 +46,23 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
 - num_epochs: 30
-- mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
-| 1.0588        | 4.17  | 400  | 1.7492          | 0.6409 | 0.2597 |
-| 0.5411        | 8.33  | 800  | 2.0539          | 0.6467 | 0.2779 |
-| 0.403         | 12.5  | 1200 | 2.0300          | 0.6500 | 0.2674 |
-| 0.2896        | 16.67 | 1600 | 2.0923          | 0.6024 | 0.2544 |
-| 0.2176        | 20.83 | 2000 | 2.1371          | 0.5763 | 0.2449 |
-| 0.1557        | 25.0  | 2400 | 2.3540          | 0.5906 | 0.2505 |
-| 0.1089        | 29.17 | 2800 | 2.4856          | 0.5755 | 0.2446 |
+| 1.0772        | 4.17  | 400  | 1.8505          | 0.6597 | 0.2778 |
+| 0.5563        | 8.33  | 800  | 1.9481          | 0.6481 | 0.2663 |
+| 0.4008        | 12.5  | 1200 | 2.2166          | 0.6589 | 0.2767 |
+| 0.285         | 16.67 | 1600 | 2.0445          | 0.6128 | 0.2535 |
+| 0.2171        | 20.83 | 2000 | 2.2138          | 0.5943 | 0.2509 |
+| 0.1611        | 25.0  | 2400 | 2.2532          | 0.5813 | 0.2455 |
+| 0.1098        | 29.17 | 2800 | 2.4056          | 0.5800 | 0.2434 |
 
 
 ### Framework versions
 
-- Transformers 4.11.3
-- Pytorch 1.10.0+cu113
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu117
 - Datasets 1.18.3
-- Tokenizers 0.10.3
+- Tokenizers 0.13.3