update model card README.md

README.md

@@ -2,8 +2,6 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
-metrics:
-- wer
 model-index:
 - name: wav2vec2-large-asr-th
   results: []
@@ -14,11 +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-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.5207
-- Wer: 0.4689
-- Cer: 0.1571
+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
 
@@ -37,7 +31,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0002
+- learning_rate: 0.0001
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
@@ -46,22 +40,9 @@ 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: 200
-- training_steps: 3500
+- training_steps: 6000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
-| 3.6231        | 0.57  | 500  | 3.5254          | 1.0    | 0.9999 |
-| 1.5065        | 1.14  | 1000 | 1.0542          | 0.7677 | 0.2939 |
-| 1.0592        | 1.71  | 1500 | 0.7072          | 0.5837 | 0.2054 |
-| 1.0818        | 2.28  | 2000 | 0.6309          | 0.5414 | 0.1887 |
-| 1.0136        | 2.85  | 2500 | 0.5573          | 0.4966 | 0.1690 |
-| 0.7907        | 3.42  | 3000 | 0.5207          | 0.4689 | 0.1571 |
-| 0.8223        | 4.0   | 3500 | 0.5079          | 0.4642 | 0.1546 |
-
-
 ### Framework versions
 
 - Transformers 4.26.1