End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 15.897728895872017
+      value: 15.615083757656262
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ 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 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6303
-- Wer: 15.8977
+- Loss: 0.6465
+- Wer: 15.6151
 
 ## Model description
 
@@ -67,15 +67,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.1189        | 2.2222 | 1000 | 0.4313          | 15.6049 |
-| 0.0179        | 4.4444 | 2000 | 0.5332          | 16.1263 |
-| 0.0039        | 6.6667 | 3000 | 0.5926          | 15.8049 |
-| 0.0012        | 8.8889 | 4000 | 0.6303          | 15.8977 |
+| 0.1101        | 2.2222 | 1000 | 0.4305          | 16.7958 |
+| 0.0254        | 4.4444 | 2000 | 0.5225          | 15.7553 |
+| 0.0034        | 6.6667 | 3000 | 0.6075          | 15.5118 |
+| 0.0011        | 8.8889 | 4000 | 0.6465          | 15.6151 |
 
 
 ### Framework versions
 
-- Transformers 4.46.2
+- Transformers 4.46.3
 - Pytorch 2.4.0
 - Datasets 3.1.0
 - Tokenizers 0.20.0

generation_config.json

@@ -250,5 +250,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.46.2"
+  "transformers_version": "4.46.3"
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d894ffcc1a10c77659364915909d91abee58f7e1671c61b08f5d8c709579e64b
+oid sha256:3e581b399541b68a9208cd3fabf51c37313e75d049c64ad73c59afac8fd4d163
 size 966995080