End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 86.7595818815331
+      value: 86.1788617886179
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,8 +35,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5256
-- Wer: 86.7596
+- Loss: 0.5060
+- Wer: 86.1789
 
 ## Model description
 
@@ -68,12 +68,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.0096        | 15.62 | 500  | 0.5256          | 86.7596 |
+| 0.0403        | 7.81  | 250  | 0.4193          | 87.1080 |
+| 0.0094        | 15.62 | 500  | 0.5060          | 86.1789 |
 
 
 ### Framework versions
 
-- Transformers 4.33.3
+- Transformers 4.34.0
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.5
-- Tokenizers 0.13.3
+- Tokenizers 0.14.0

generation_config.json

@@ -265,5 +265,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.33.3"
+  "transformers_version": "4.34.0"
 }