update model card README.md

README.md

@@ -1,41 +1,20 @@
 ---
-language:
-- vi
 license: apache-2.0
 tags:
-- whisper-event
 - generated_from_trainer
 datasets:
-- mozilla-foundation/common_voice_11_0
-metrics:
-- wer
+- common_voice_11_0
 model-index:
-- name: Whisper Medium Vietnamese
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: mozilla-foundation/common_voice_11_0 vi
-      type: mozilla-foundation/common_voice_11_0
-      config: vi
-      split: test
-      args: vi
-    metrics:
-    - name: Wer
-      type: wer
-      value: 20.04825619653433
+- name: openai/whisper-large
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# Whisper Medium Vietnamese
+# openai/whisper-large
 
-This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_11_0 vi dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.5422
-- Wer: 20.0483
+This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the common_voice_11_0 dataset.
 
 ## Model description
 
@@ -55,20 +34,17 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 100
-- training_steps: 1000
+- training_steps: 1
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.0241        | 4.01  | 1000 | 0.5422          | 20.0483 |
 
 
 ### Framework versions