End of training

README.md

@@ -1,43 +1,43 @@
 ---
 library_name: transformers
 language:
-- dv
+- en
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
 - generated_from_trainer
 datasets:
-- mozilla-foundation/common_voice_13_0
+- mozilla-foundation/minds14
 metrics:
 - wer
 model-index:
-- name: Whisper Small Dv - BT
+- name: Whisper Small en-US - BT
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: Common Voice 13
-      type: mozilla-foundation/common_voice_13_0
-      config: dv
-      split: test
-      args: dv
+      name: Minds 14
+      type: mozilla-foundation/minds14
+      config: en-US
+      split: train
+      args: en-US
     metrics:
     - name: Wer
       type: wer
-      value: 13.46802517647877
+      value: 25.700655933214072
 ---
 
 <!-- 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 - BT
+# Whisper Small en-US - BT
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Minds 14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1722
-- Wer Ortho: 62.8038
-- Wer: 13.4680
+- Loss: 0.6225
+- Wer Ortho: 25.3117
+- Wer: 25.7007
 
 ## Model description
 
@@ -68,9 +68,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
-| 0.121         | 1.6287 | 500  | 0.1722          | 62.8038   | 13.4680 |
+| Training Loss | Epoch   | Step | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:---------:|:-------:|
+| 0.0003        | 17.8571 | 500  | 0.6225          | 25.3117   | 25.7007 |
 
 
 ### Framework versions