update model card README.md

README.md

@@ -20,8 +20,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - OR dataset.
 It achieves the following results on the evaluation set:
-- Loss: 28.7283
-- Wer: 1.0
+- Loss: 0.6580
+- Wer: 0.9712
 
 ## Model description
 
@@ -41,19 +41,25 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 7.5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
-- gradient_accumulation_steps: 4
+- gradient_accumulation_steps: 2
 - total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 1.0
+- num_epochs: 120.0
 - mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 3.3231        | 29.41  | 500  | 3.3522          | 0.9990 |
+| 2.1146        | 58.82  | 1000 | 1.3368          | 0.9383 |
+| 1.3134        | 88.24  | 1500 | 0.7372          | 0.9579 |
+| 1.1506        | 117.65 | 2000 | 0.6582          | 0.9681 |
 
 
 ### Framework versions