update model card README.md

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the OPENSLR_SLR66 - NA dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6547
-- Wer: 0.7824
+- Loss: 0.5929
+- Wer: 0.7180
 
 ## Model description
 
@@ -37,23 +37,32 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 4
+- learning_rate: 1e-05
+- train_batch_size: 16
 - eval_batch_size: 4
 - seed: 42
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 32
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 300
-- num_epochs: 5.0
+- num_epochs: 100.0
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.3883        | 4.81  | 500  | 0.6559          | 0.7844 |
+| 1.5794        | 9.61  | 500  | 0.9860          | 0.9582 |
+| 1.0985        | 19.23 | 1000 | 0.5948          | 0.7534 |
+| 0.9551        | 28.84 | 1500 | 0.5892          | 0.7392 |
+| 0.8699        | 38.46 | 2000 | 0.5927          | 0.72   |
+| 0.8372        | 48.08 | 2500 | 0.5939          | 0.7385 |
+| 0.7794        | 57.69 | 3000 | 0.5801          | 0.7388 |
+| 0.7565        | 67.31 | 3500 | 0.5827          | 0.7184 |
+| 0.7303        | 76.92 | 4000 | 0.5800          | 0.7297 |
+| 0.7128        | 86.54 | 4500 | 0.5977          | 0.7150 |
+| 0.6972        | 96.15 | 5000 | 0.5901          | 0.7177 |
 
 
 ### Framework versions