End of training

README.md

@@ -1,40 +1,28 @@
 ---
 library_name: transformers
-license: apache-2.0
-base_model: openai/whisper-small
+language:
+- uz
+base_model: whisper-small
 tags:
 - generated_from_trainer
 datasets:
-- common_voice_17_0
+- mozilla-foundation/common_voice_17_0
 metrics:
 - wer
 model-index:
-- name: whisper-small-uz
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: common_voice_17_0
-      type: common_voice_17_0
-      config: uz
-      split: train+validation
-      args: uz
-    metrics:
-    - name: Wer
-      type: wer
-      value: 45.749694536568335
+- name: Fine tuned whisper
+  results: []
 ---
 
 <!-- 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-uz
+# Fine tuned whisper
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_17_0 dataset.
+This model is a fine-tuned version of [whisper-small](https://huggingface.co/whisper-small) on the Common_Voice_17.0 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.6123
-- Wer: 45.7497
+- Wer: 45.6275
 
 ## Model description
 
@@ -69,7 +57,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 1.0635        | 2.4576 | 1000 | 0.6123          | 45.7497 |
+| 1.0634        | 2.4576 | 1000 | 0.6123          | 45.6275 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fdc846f8e7952f800997538877af2d1560b75dbffcdedaca41f1da4e43d50e8a
+oid sha256:a28e32d9c2701a3cac3d6ccc4c505ffb654b62ea9d96d5d759c18f0dbab1c7d9
 size 966995080