update model card README.md

README.md

@@ -1,9 +1,6 @@
 ---
-language:
-- tr
+license: apache-2.0
 tags:
-- automatic-speech-recognition
-- common_voice
 - generated_from_trainer
 datasets:
 - common_voice
@@ -17,10 +14,7 @@ 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 COMMON_VOICE - TR dataset.
-It achieves the following results on the evaluation set:
-- Loss: 59.6880
-- Wer: 1.0
+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.
 
 ## Model description
 
@@ -39,27 +33,18 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0003
-- train_batch_size: 16
+- learning_rate: 0.0005
+- train_batch_size: 32
 - eval_batch_size: 8
 - seed: 42
-- 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: 5.0
+- num_epochs: 2.0
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 0.92  | 100  | 149.2460        | 1.0032 |
-| No log        | 1.83  | 200  | 135.3586        | 1.0    |
-| No log        | 2.75  | 300  | 114.3390        | 1.0    |
-| No log        | 3.67  | 400  | 88.3077         | 1.0    |
-| 67.8005       | 4.59  | 500  | 64.6167         | 1.0    |
 
 
 ### Framework versions