End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 34.179456906729634
+      value: 0.3417945690672963
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,7 +34,7 @@ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.
 It achieves the following results on the evaluation set:
 - Loss: 0.6498
 - Wer Ortho: 0.3461
-- Wer: 34.1795
+- Wer: 0.3418
 
 ## Model description
 
@@ -65,14 +65,14 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 0.0007        | 17.86 | 500  | 0.6498          | 0.3461    | 34.1795 |
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| 0.0007        | 17.86 | 500  | 0.6498          | 0.3461    | 0.3418 |
 
 
 ### Framework versions
 
-- Transformers 4.35.0
+- Transformers 4.35.2
 - Pytorch 2.1.0+cu118
-- Datasets 2.14.6
-- Tokenizers 0.14.1
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

@@ -247,5 +247,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.35.0"
+  "transformers_version": "4.35.2"
 }