Training in progress, step 1500

README.md

@@ -9,22 +9,9 @@ tags:
 - generated_from_trainer
 datasets:
 - Chinese_english
-metrics:
-- wer
 model-index:
 - name: Whisper tiny Chinese
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Chinese English
-      type: Chinese_english
-      args: 'config: default, split: test'
-    metrics:
-    - name: Wer
-      type: wer
-      value: 16.29864972200159
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +20,6 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper tiny Chinese
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Chinese English dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.3721
-- Wer: 16.2986
 
 ## Model description
 
@@ -57,19 +41,12 @@ The following hyperparameters were used during training:
 - learning_rate: 1e-05
 - train_batch_size: 2
 - eval_batch_size: 1
-- seed: 44
+- seed: 43
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
 - training_steps: 1500
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.0025        | 5.0   | 1500 | 0.3721          | 16.2986 |
-
-
 ### Framework versions
 
 - Transformers 4.49.0

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