End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 34.49116392443632
+      value: 0.2871553463349025
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +32,9 @@ 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 PolyAI/minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7392
-- Wer Ortho: 34.7107
-- Wer: 34.4912
+- Loss: 0.5611
+- Wer Ortho: 28.6111
+- Wer: 0.2872
 
 ## Model description
 
@@ -64,14 +64,14 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 0.0007        | 17.24 | 500  | 0.7392          | 34.7107   | 34.4912 |
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| 0.0008        | 17.24 | 500  | 0.5611          | 28.6111   | 0.2872 |
 
 
 ### Framework versions
 
-- Transformers 4.34.0
-- Pytorch 2.0.1+cu118
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
 - Datasets 2.14.5
 - Tokenizers 0.14.1

generation_config.json

@@ -249,5 +249,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.34.0"
+  "transformers_version": "4.34.1"
 }