Model save

README.md

@@ -6,24 +6,9 @@ tags:
 - generated_from_trainer
 datasets:
 - generator
-metrics:
-- wer
 model-index:
 - name: distil_whisper_en
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: generator
-      type: generator
-      config: default
-      split: train
-      args: default
-    metrics:
-    - name: Wer
-      type: wer
-      value: 0.8298755186721992
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +17,6 @@ should probably proofread and complete it, then remove this comment. -->
 # distil_whisper_en
 
 This model is a fine-tuned version of [distil-whisper/distil-small.en](https://huggingface.co/distil-whisper/distil-small.en) on the generator dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0000
-- Wer: 0.8299
 
 ## Model description
 
@@ -61,15 +43,12 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 4
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 500
-- training_steps: 500
+- lr_scheduler_warmup_steps: 100
+- training_steps: 100
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer    |
-|:-------------:|:------:|:----:|:---------------:|:------:|
-| 0.0           | 19.031 | 500  | 0.0000          | 0.8299 |
 
 
 ### Framework versions