End of training

README.md

@@ -19,12 +19,12 @@ model-index:
       name: Common Voice 16
       type: mozilla-foundation/common_voice_16_1
       config: gn
-      split: test
+      split: None
       args: gn
     metrics:
     - name: Wer
       type: wer
-      value: 58.90378171373863
+      value: 58.17978782802904
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,8 +34,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 16 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5927
-- Wer: 58.9038
+- Loss: 0.5857
+- Wer: 58.1798
 
 ## Model description
 
@@ -68,16 +68,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 2.3403        | 1.0101 | 100  | 0.9377          | 81.1872 |
-| 0.5917        | 2.0202 | 200  | 0.6872          | 69.3633 |
-| 0.3348        | 3.0303 | 300  | 0.6128          | 65.4380 |
-| 0.2026        | 4.0404 | 400  | 0.5885          | 61.0340 |
-| 0.1237        | 5.0505 | 500  | 0.5927          | 58.9038 |
+| 2.3905        | 1.0101 | 100  | 0.9598          | 81.9654 |
+| 0.5779        | 2.0202 | 200  | 0.6883          | 68.6767 |
+| 0.3116        | 3.0303 | 300  | 0.5997          | 62.5349 |
+| 0.1741        | 4.0404 | 400  | 0.5750          | 59.5757 |
+| 0.0955        | 5.0505 | 500  | 0.5857          | 58.1798 |
 
 
 ### Framework versions
 
-- Transformers 4.40.0
-- Pytorch 2.2.1+cu121
-- Datasets 2.19.0
+- Transformers 4.44.0
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
 - Tokenizers 0.19.1

generation_config.json

@@ -252,5 +252,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.40.0"
+  "transformers_version": "4.44.0"
 }