update model card README.md

README.md

@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-large-xls-r-1b-wolof-VoiceToText
 
-This model is a fine-tuned version of [BenDaouda/wav2vec2-large-xls-r-1b-wolof-VoiceToText](https://huggingface.co/BenDaouda/wav2vec2-large-xls-r-1b-wolof-VoiceToText) on the None dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4722
-- Wer: 0.4276
+- Loss: 0.3951
+- Wer: 0.3838
 
 ## Model description
 
@@ -37,11 +37,9 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0003
-- train_batch_size: 16
+- 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
@@ -52,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.2628        | 14.29 | 400  | 0.5651          | 0.5578 |
-| 0.2354        | 28.57 | 800  | 0.4722          | 0.4276 |
+| 3.2047        | 14.29 | 400  | 0.4485          | 0.4602 |
+| 0.1987        | 28.57 | 800  | 0.3951          | 0.3838 |
 
 
 ### Framework versions