Model save

README.md

@@ -6,9 +6,24 @@ tags:
 - generated_from_trainer
 datasets:
 - generator
+metrics:
+- wer
 model-index:
 - name: distil_whisper_en
-  results: []
+  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
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,6 +32,9 @@ 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
 
@@ -44,11 +62,14 @@ 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: 250
+- training_steps: 500
 - 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