End of training

README.md

@@ -22,10 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 33.97932816537468
-language:
-- en
-pipeline_tag: automatic-speech-recognition
+      value: 0.3397932816537468
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,9 +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: 0.7776
-- Wer Ortho: 34.1857
-- Wer: 33.9793
+- Loss: 0.7809
+- Wer Ortho: 0.3419
+- Wer: 0.3398
 
 ## Model description
 
@@ -70,14 +67,14 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch   | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:-------:|:----:|:---------------:|:---------:|:-------:|
-| 0.0007        | 17.8571 | 500  | 0.7776          | 34.1857   | 33.9793 |
+| Training Loss | Epoch   | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|
+| 0.0007        | 17.8571 | 500  | 0.7809          | 0.3419    | 0.3398 |
 
 
 ### Framework versions
 
-- Transformers 4.42.3
-- Pytorch 2.1.2
-- Datasets 2.20.0
-- Tokenizers 0.19.1
+- Transformers 4.42.4
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

generation_config.json

@@ -244,5 +244,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.42.3"
+  "transformers_version": "4.42.4"
 }