update model card README.md

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 45.63719862227325
+      value: 138.6229314420804
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,8 +34,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the tm_data dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5530
-- Wer: 45.6372
+- Loss: 0.7916
+- Wer: 138.6229
 
 ## Model description
 
@@ -61,19 +61,19 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 500
+- training_steps: 1000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.1812        | 5.0   | 500  | 0.5530          | 45.6372 |
+| Training Loss | Epoch | Step | Validation Loss | Wer      |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0012        | 25.64 | 1000 | 0.7916          | 138.6229 |
 
 
 ### Framework versions
 
-- Transformers 4.27.0.dev0
-- Pytorch 1.13.1+cu116
-- Datasets 2.9.0
-- Tokenizers 0.13.2
+- Transformers 4.28.0.dev0
+- Pytorch 2.0.0+cu118
+- Datasets 2.11.0
+- Tokenizers 0.13.3