update model card README.md

README.md

@@ -15,6 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 # wav2vec2-large-xlsr-hausa2-demo-colab
 
 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 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2993
+- Wer: 0.4826
 
 ## Model description
 
@@ -33,20 +36,26 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 9.789e-05
-- train_batch_size: 16
+- learning_rate: 9.6e-05
+- train_batch_size: 12
 - eval_batch_size: 8
 - seed: 13
 - gradient_accumulation_steps: 3
-- total_train_batch_size: 48
+- total_train_batch_size: 36
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 500
-- num_epochs: 40
+- lr_scheduler_warmup_steps: 400
+- num_epochs: 50
 - mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 6.1549        | 12.5  | 400  | 2.7289          | 1.0    |
+| 2.0566        | 25.0  | 800  | 0.4582          | 0.6768 |
+| 0.4423        | 37.5  | 1200 | 0.3037          | 0.5138 |
+| 0.2991        | 50.0  | 1600 | 0.2993          | 0.4826 |
 
 
 ### Framework versions