update model card README.md

README.md

@@ -1,6 +1,7 @@
 ---
 language:
-- ab
+- sv-SE
+license: apache-2.0
 tags:
 - automatic-speech-recognition
 - mozilla-foundation/common_voice_7_0
@@ -17,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # 
 
-This model is a fine-tuned version of [hf-test/xls-r-dummy](https://huggingface.co/hf-test/xls-r-dummy) on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - AB dataset.
+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 - SV-SE dataset.
 It achieves the following results on the evaluation set:
-- Loss: 155.7939
-- Wer: 1.0842
+- Loss: 14.2136
+- Wer: 1.0
 
 ## Model description
 
@@ -39,21 +40,29 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0003
-- train_batch_size: 2
+- learning_rate: 0.0075
+- train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
+- gradient_accumulation_steps: 4
+- 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: 2000
 - training_steps: 10
+- mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Wer |
+|:-------------:|:-----:|:----:|:---------------:|:---:|
+| 10.3458       | 0.01  | 5    | 15.0991         | 1.0 |
+| 11.9029       | 0.03  | 10   | 14.2136         | 1.0 |
 
 
 ### Framework versions
 
 - Transformers 4.16.0.dev0
-- Pytorch 1.10.1
+- Pytorch 1.10.1+cu102
 - Datasets 1.17.1.dev0
 - Tokenizers 0.11.0