update model card README.md

README.md

@@ -12,10 +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: 3.7473
-- Cer: 0.9999
+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
 
@@ -34,32 +31,16 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0005
+- learning_rate: 5e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 250
+- lr_scheduler_warmup_steps: 200
 - training_steps: 1000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Cer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 4.2296        | 0.56  | 100  | 4.0607          | 0.9999 |
-| 3.6029        | 1.13  | 200  | 3.9200          | 0.9999 |
-| 3.6003        | 1.69  | 300  | 3.7882          | 0.9999 |
-| 3.6346        | 2.26  | 400  | 3.7473          | 0.9999 |
-| 3.6041        | 2.82  | 500  | 3.9651          | 0.9999 |
-| 3.5491        | 3.39  | 600  | 3.9053          | 0.9999 |
-| 3.568         | 3.95  | 700  | 3.7021          | 0.9999 |
-| 3.5773        | 4.52  | 800  | 3.6694          | 0.9999 |
-| 3.5367        | 5.08  | 900  | 3.6426          | 0.9999 |
-| 3.5112        | 5.65  | 1000 | 3.6260          | 0.9999 |
-
-
 ### Framework versions
 
 - Transformers 4.26.1