End of training

README.md

@@ -1,23 +1,41 @@
 ---
 language:
-- hi
+- tr
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
 - generated_from_trainer
 datasets:
-- mozilla-foundation/common_voice_11_0
+- mozilla-foundation/common_voice_17_0
+metrics:
+- wer
 model-index:
-- name: Whisper Small Hi - Sanchit Gandhi
-  results: []
+- name: Whisper Small Tr - Huseyin Ates
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 17.0
+      type: mozilla-foundation/common_voice_17_0
+      config: tr
+      split: None
+      args: 'config: tr, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 20.46155156263306
 ---
 
 <!-- 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 Hi - Sanchit Gandhi
+# Whisper Small Tr - Huseyin Ates
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2347
+- Wer: 20.4616
 
 ## Model description
 
@@ -42,11 +60,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 200
-- training_steps: 100
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
 
 ### Training results
 
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.2284        | 0.3447 | 1000 | 0.2800          | 23.8695 |
+| 0.1868        | 0.6894 | 2000 | 0.2569          | 22.2992 |
+| 0.0948        | 1.0341 | 3000 | 0.2410          | 20.9929 |
+| 0.0865        | 1.3788 | 4000 | 0.2347          | 20.4616 |
 
 
 ### Framework versions