update model card README.md

README.md

@@ -14,8 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2605
-- Wer: 0.2556
+- Loss: 0.2481
+- Wer: 0.2480
 
 ## Model description
 
@@ -50,25 +50,25 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 4.7998        | 2.12  | 400  | 3.2020          | 1.0    |
-| 1.489         | 4.23  | 800  | 0.4896          | 0.5324 |
-| 0.4839        | 6.35  | 1200 | 0.3348          | 0.4155 |
-| 0.3247        | 8.46  | 1600 | 0.3428          | 0.3782 |
-| 0.2583        | 10.58 | 2000 | 0.2966          | 0.3305 |
-| 0.2063        | 12.7  | 2400 | 0.3133          | 0.3281 |
-| 0.1759        | 14.81 | 2800 | 0.2849          | 0.3052 |
-| 0.1576        | 16.93 | 3200 | 0.2805          | 0.2885 |
-| 0.1417        | 19.05 | 3600 | 0.2778          | 0.2904 |
-| 0.1241        | 21.16 | 4000 | 0.2651          | 0.2731 |
-| 0.1179        | 23.28 | 4400 | 0.2770          | 0.2692 |
-| 0.1092        | 25.4  | 4800 | 0.2556          | 0.2580 |
-| 0.0957        | 27.51 | 5200 | 0.2653          | 0.2585 |
-| 0.0907        | 29.63 | 5600 | 0.2605          | 0.2556 |
+| 4.7387        | 2.12  | 400  | 3.1791          | 1.0    |
+| 1.3766        | 4.23  | 800  | 0.4876          | 0.5264 |
+| 0.476         | 6.35  | 1200 | 0.2955          | 0.3648 |
+| 0.3209        | 8.46  | 1600 | 0.2926          | 0.3473 |
+| 0.2591        | 10.58 | 2000 | 0.2723          | 0.3094 |
+| 0.2055        | 12.7  | 2400 | 0.2746          | 0.3027 |
+| 0.1802        | 14.81 | 2800 | 0.2672          | 0.2976 |
+| 0.1552        | 16.93 | 3200 | 0.2822          | 0.2807 |
+| 0.1413        | 19.05 | 3600 | 0.2652          | 0.2856 |
+| 0.1232        | 21.16 | 4000 | 0.2631          | 0.2655 |
+| 0.1146        | 23.28 | 4400 | 0.2561          | 0.2574 |
+| 0.1086        | 25.4  | 4800 | 0.2461          | 0.2527 |
+| 0.0944        | 27.51 | 5200 | 0.2521          | 0.2535 |
+| 0.0881        | 29.63 | 5600 | 0.2481          | 0.2480 |
 
 
 ### Framework versions
 
-- Transformers 4.17.0
+- Transformers 4.21.0
 - Pytorch 1.12.0+cu113
-- Datasets 1.18.3
+- Datasets 2.4.0
 - Tokenizers 0.12.1