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: []
@@ -14,10 +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-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: 3.7418
-- Wer: 1.0
+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
 
@@ -40,25 +35,12 @@ The following hyperparameters were used during training:
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
-- gradient_accumulation_steps: 2
-- 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: 100
+- lr_scheduler_warmup_steps: 200
 - training_steps: 1000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer |
-|:-------------:|:-----:|:----:|:---------------:|:---:|
-| 3.9266        | 2.27  | 200  | 3.8144          | 1.0 |
-| 3.7284        | 4.54  | 400  | 3.7418          | 1.0 |
-| 3.7024        | 6.81  | 600  | 3.7100          | 1.0 |
-| 3.3622        | 9.09  | 800  | 3.1187          | 1.0 |
-| 2.7545        | 11.36 | 1000 | 2.5473          | 1.0 |
-
-
 ### Framework versions
 
 - Transformers 4.26.1