End of training

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 16.15567911040508
+      value: 16.282764098490865
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,8 +34,8 @@ 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 Chinese English dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3670
-- Wer: 16.1557
+- Loss: 0.3679
+- Wer: 16.2828
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.2023        | 1.6667 | 500  | 0.3650          | 16.4257 |
-| 0.015         | 3.3333 | 1000 | 0.3586          | 16.7276 |
-| 0.0035        | 5.0    | 1500 | 0.3670          | 16.1557 |
+| 0.2648        | 1.6667 | 500  | 0.3492          | 17.8078 |
+| 0.0191        | 3.3333 | 1000 | 0.3622          | 16.0286 |
+| 0.0058        | 5.0    | 1500 | 0.3679          | 16.2828 |
 
 
 ### Framework versions

generation_config.json

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+  "suppress_tokens": [],
   "task_to_id": {
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     "translate": 50358

model.safetensors

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 size 151061672