End of training

README.md

@@ -10,7 +10,7 @@ datasets:
 metrics:
 - wer
 model-index:
-- name: Whisper Small Dv - Abdoulaye DIALLO
+- name: Whisper Small Dv - Sanchit Gandhi
   results:
   - task:
       name: Automatic Speech Recognition
@@ -24,19 +24,19 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 12.935980804673644
+      value: 13.434989741628126
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# Whisper Small Dv - Abdoulaye DIALLO
+# Whisper Small Dv - Sanchit Gandhi
 
 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: 0.1662
-- Wer Ortho: 62.2119
-- Wer: 12.9360
+- Loss: 0.1725
+- Wer Ortho: 63.0267
+- Wer: 13.4350
 
 ## Model description
 
@@ -67,14 +67,14 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 0.1228        | 1.63  | 500  | 0.1662          | 62.2119   | 12.9360 |
+| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
+| 0.1208        | 1.6287 | 500  | 0.1725          | 63.0267   | 13.4350 |
 
 
 ### Framework versions
 
-- Transformers 4.38.0.dev0
-- Pytorch 2.1.2+cu121
-- Datasets 2.16.1
-- Tokenizers 0.15.0
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

@@ -260,5 +260,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.38.0.dev0"
+  "transformers_version": "4.41.2"
 }