update model card README.md

README.md

@@ -1,10 +1,6 @@
 ---
-language:
-- vi
 license: apache-2.0
 tags:
-- automatic-speech-recognition
-- common_voice
 - generated_from_trainer
 datasets:
 - common_voice
@@ -18,10 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-common_voice-vi
 
-This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the COMMON_VOICE - VI dataset.
-It achieves the following results on the evaluation set:
-- Loss: 3.5260
-- Wer: 1.0
+This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice dataset.
 
 ## Model description
 
@@ -41,21 +34,19 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0003
-- train_batch_size: 16
+- train_batch_size: 1
 - eval_batch_size: 8
 - seed: 42
-- gradient_accumulation_steps: 2
-- total_train_batch_size: 32
+- gradient_accumulation_steps: 200
+- total_train_batch_size: 200
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
 - num_epochs: 15.0
+- mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer |
-|:-------------:|:-----:|:----:|:---------------:|:---:|
-| No log        | 7.67  | 100  | 11.8240         | 1.0 |
 
 
 ### Framework versions