update model card README.md

README.md

@@ -1,8 +1,6 @@
 ---
 license: apache-2.0
 tags:
-- automatic-speech-recognition
-- BembaSpeech
 - generated_from_trainer
 metrics:
 - wer
@@ -16,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # xls-r-300m-bemba-fullset
 
-This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the BEMBASPEECH - BEM dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2534
-- Wer: 0.8470
+- Loss: 0.6071
+- Wer: 0.9917
 
 ## Model description
 
@@ -46,7 +44,7 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 16
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 2000
+- lr_scheduler_warmup_steps: 1500
 - num_epochs: 2.0
 - mixed_precision_training: Native AMP
 
@@ -54,8 +52,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 2.268         | 0.67  | 500  | 1.0355          | 0.9929 |
-| 0.7365        | 1.35  | 1000 | 0.2534          | 0.8470 |
+| 1.6564        | 1.58  | 500  | 0.6071          | 0.9917 |
 
 
 ### Framework versions