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: 1.3903
-- Wer: 1.0
-- Cer: 0.9442
+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
 
@@ -41,28 +35,14 @@ The following hyperparameters were used during training:
 - train_batch_size: 16
 - eval_batch_size: 8
 - 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: 200
-- training_steps: 2000
+- training_steps: 5000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer | Cer    |
-|:-------------:|:-----:|:----:|:---------------:|:---:|:------:|
-| 3.9178        | 1.09  | 200  | 4.1261          | 1.0 | 1.0000 |
-| 3.7661        | 2.19  | 400  | 3.8671          | 1.0 | 1.0000 |
-| 3.7807        | 3.28  | 600  | 3.7873          | 1.0 | 1.0000 |
-| 3.7099        | 4.37  | 800  | 3.7331          | 1.0 | 1.0000 |
-| 3.4771        | 5.46  | 1000 | 3.3761          | 1.0 | 0.9998 |
-| 2.5528        | 6.56  | 1200 | 2.2584          | 1.0 | 0.9637 |
-| 1.9769        | 7.65  | 1400 | 1.7215          | 1.0 | 0.9507 |
-| 1.716         | 8.74  | 1600 | 1.5033          | 1.0 | 0.9464 |
-| 1.5803        | 9.84  | 1800 | 1.3903          | 1.0 | 0.9442 |
-| 1.4613        | 10.93 | 2000 | 1.3541          | 1.0 | 0.9433 |
-
-
 ### Framework versions
 
 - Transformers 4.26.1