update model card README.md

README.md

@@ -12,10 +12,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-large-asr-th
 
-This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 5.0687
-- Cer: 0.9999
+This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
 
 ## Model description
 
@@ -34,7 +31,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 0.0001
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -43,21 +40,12 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 100
-- training_steps: 1500
+- training_steps: 1000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Cer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 5.2461        | 4.39  | 400  | 5.0687          | 0.9999 |
-| 4.0581        | 8.79  | 800  | 4.0428          | 0.9999 |
-| 3.962         | 13.19 | 1200 | 3.8773          | 0.9999 |
-
-
 ### Framework versions
 
-- Transformers 4.26.0
+- Transformers 4.26.1
 - Pytorch 1.13.1+cu116
 - Datasets 2.9.0
 - Tokenizers 0.13.2