update model card README.md

README.md

@@ -14,7 +14,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-large-xls-r-1b-Swedish
 
-This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the common_voice dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3370
+- Wer: 0.1803
+- Cer: 0.0569
 
 ## Model description
 
@@ -33,11 +37,11 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0003
-- train_batch_size: 64
+- learning_rate: 7.5e-05
+- train_batch_size: 32
 - eval_batch_size: 8
 - seed: 42
-- gradient_accumulation_steps: 2
+- gradient_accumulation_steps: 4
 - total_train_batch_size: 128
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -45,6 +49,21 @@ The following hyperparameters were used during training:
 - num_epochs: 50
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 3.1423        | 5.49  | 500  | 0.5523          | 0.4414 | 0.1313 |
+| 0.8615        | 10.98 | 1000 | 0.3877          | 0.2946 | 0.0942 |
+| 0.4848        | 16.48 | 1500 | 0.3580          | 0.2539 | 0.0798 |
+| 0.3538        | 21.97 | 2000 | 0.3391          | 0.2254 | 0.0709 |
+| 0.2879        | 27.47 | 2500 | 0.3392          | 0.2151 | 0.0680 |
+| 0.2466        | 32.96 | 3000 | 0.3687          | 0.2131 | 0.0680 |
+| 0.2146        | 38.46 | 3500 | 0.3551          | 0.1951 | 0.0618 |
+| 0.1916        | 43.95 | 4000 | 0.3601          | 0.1867 | 0.0590 |
+| 0.175         | 49.45 | 4500 | 0.3370          | 0.1803 | 0.0569 |
+
+
 ### Framework versions
 
 - Transformers 4.17.0.dev0