End of training

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 17.013502779984112
+      value: 9.512195121951219
 ---
 
 <!-- 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: 0.4611
-- Wer: 17.0135
+- Loss: 0.2023
+- Wer: 9.5122
 
 ## Model description
 
@@ -67,13 +67,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.0018        | 1.6667 | 1000 | 0.4438          | 16.5210 |
-| 0.0001        | 3.3333 | 2000 | 0.4611          | 17.0135 |
+| 0.3187        | 0.5086 | 500  | 0.2582          | 12.7073 |
+| 0.1756        | 1.0173 | 1000 | 0.2165          | 9.8780  |
+| 0.0827        | 1.5259 | 1500 | 0.2084          | 9.6585  |
+| 0.0741        | 2.0346 | 2000 | 0.2023          | 9.5122  |
 
 
 ### Framework versions
 
-- Transformers 4.50.0.dev0
-- Pytorch 2.5.1+cu124
-- Datasets 3.3.2
-- Tokenizers 0.21.0
+- Transformers 4.49.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.4.0
+- Tokenizers 0.21.1

generation_config.json

@@ -155,5 +155,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.50.0.dev0"
+  "transformers_version": "4.49.0"
 }