update model card README.md

README.md

@@ -2,6 +2,8 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+metrics:
+- wer
 model-index:
 - name: wav2vec2-large-asr-th-2
   results: []
@@ -14,14 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 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:
-- eval_loss: 0.3239
-- eval_wer: 0.4763
-- eval_cer: 0.1331
-- eval_runtime: 749.146
-- eval_samples_per_second: 13.562
-- eval_steps_per_second: 1.695
-- epoch: 0.95
-- step: 4000
+- Loss: 0.3300
+- Wer: 0.4924
+- Cer: 0.1398
 
 ## Model description
 
@@ -48,10 +45,20 @@ The following hyperparameters were used during training:
 - 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: 800
-- training_steps: 5000
+- lr_scheduler_warmup_steps: 600
+- training_steps: 4000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 1.2666        | 0.24  | 1000 | 0.7343          | 0.6934 | 0.2410 |
+| 0.9305        | 0.47  | 2000 | 0.4504          | 0.6006 | 0.1764 |
+| 0.8241        | 0.71  | 3000 | 0.3653          | 0.5278 | 0.1547 |
+| 0.7788        | 0.95  | 4000 | 0.3300          | 0.4924 | 0.1398 |
+
+
 ### Framework versions
 
 - Transformers 4.27.3