update model card README.md

README.md

@@ -1,9 +1,6 @@
 ---
-license: apache-2.0
 tags:
 - generated_from_trainer
-metrics:
-- wer
 model-index:
 - name: wav2vec2-large-asr-th-2
   results: []
@@ -14,11 +11,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-large-asr-th-2
 
-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: 0.5485
-- Wer: 0.6163
-- Cer: 0.1880
+This model was trained from scratch on the None dataset.
 
 ## Model description
 
@@ -37,30 +30,18 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
-- train_batch_size: 20
+- learning_rate: 0.0002
+- train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
 - gradient_accumulation_steps: 2
-- total_train_batch_size: 40
+- 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
-- training_steps: 3000
+- lr_scheduler_warmup_steps: 200
+- training_steps: 4000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
-| 3.7562        | 0.39  | 500  | 3.6183          | 1.0    | 0.9999 |
-| 2.3585        | 0.79  | 1000 | 1.6482          | 0.9893 | 0.4815 |
-| 1.1946        | 1.18  | 1500 | 0.7852          | 0.7434 | 0.2404 |
-| 1.0082        | 1.58  | 2000 | 0.6294          | 0.6566 | 0.2069 |
-| 0.9679        | 1.97  | 2500 | 0.5688          | 0.6272 | 0.1922 |
-| 0.9845        | 2.37  | 3000 | 0.5485          | 0.6163 | 0.1880 |
-
-
 ### Framework versions
 
 - Transformers 4.27.3