update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 31.83067619571193
+      value: 0.3325867861142217
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6024
-- Wer Ortho: 32.7775
-- Wer: 31.8307
+- Loss: 0.7346
+- Wer Ortho: 0.3489
+- Wer: 0.3326
 
 ## Model description
 
@@ -54,11 +54,11 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 2
-- eval_batch_size: 2
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 16
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
@@ -66,14 +66,14 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 0.0007        | 17.86 | 500  | 0.6024          | 32.7775   | 31.8307 |
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| 0.0004        | 71.43 | 500  | 0.7346          | 0.3489    | 0.3326 |
 
 
 ### Framework versions
 
 - Transformers 4.31.0
-- Pytorch 2.1.0.dev20230808
-- Datasets 2.14.3
+- Pytorch 2.0.1
+- Datasets 2.14.4
 - Tokenizers 0.13.3