update model card README.md

README.md

@@ -1,8 +1,6 @@
 ---
 tags:
 - generated_from_trainer
-metrics:
-- wer
 model-index:
 - name: wav2vec2-large-asr-th-2
   results: []
@@ -15,9 +13,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1961
-- Wer: 0.3488
-- Cer: 0.0967
+- eval_loss: 0.1819
+- eval_wer: 0.3346
+- eval_cer: 0.0910
+- eval_runtime: 735.0436
+- eval_samples_per_second: 13.822
+- eval_steps_per_second: 1.728
+- epoch: 0.95
+- step: 4000
 
 ## Model description
 
@@ -36,32 +39,21 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0002
-- train_batch_size: 24
+- learning_rate: 0.0001
+- train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
 - gradient_accumulation_steps: 3
-- total_train_batch_size: 72
+- total_train_batch_size: 48
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 600
+- lr_scheduler_warmup_steps: 500
 - training_steps: 5000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
-| 0.5833        | 0.36  | 1000 | 0.2734          | 0.4104 | 0.1166 |
-| 0.5996        | 0.71  | 2000 | 0.2426          | 0.3957 | 0.1114 |
-| 0.4372        | 1.07  | 3000 | 0.2234          | 0.3716 | 0.1029 |
-| 0.4109        | 1.42  | 4000 | 0.2070          | 0.3570 | 0.0976 |
-| 0.3881        | 1.78  | 5000 | 0.1961          | 0.3488 | 0.0967 |
-
-
 ### Framework versions
 
-- Transformers 4.27.3
+- Transformers 4.27.4
 - Pytorch 1.13.1+cu116
-- Datasets 2.10.1
+- Datasets 2.11.0
 - Tokenizers 0.13.2