End of training

README.md

@@ -4,8 +4,12 @@ license: mit
 base_model: openai/whisper-large-v3-turbo
 tags:
 - generated_from_trainer
+datasets:
+- dsfsi-anv/za-african-next-voices
+metrics:
+- wer
 model-index:
-- name: whisper-large-v3-turbo-anv-sot-50h
+- name: Whisper whisper-large-v3-turbo zul
   results: []
 ---
 
@@ -13,9 +17,12 @@ model-index:
 should probably proofread and complete it, then remove this comment. -->
 
 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/dsfsi/za-next-voices/runs/88r3atgn)
-# whisper-large-v3-turbo-anv-sot-50h
+# Whisper whisper-large-v3-turbo zul
 
-This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on an unknown dataset.
+This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the dsfsi-anv/za-african-next-voices dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5580
+- Wer: 26.0225
 
 ## Model description
 
@@ -44,6 +51,13 @@ The following hyperparameters were used during training:
 - training_steps: 184
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.4447        | 1.0   | 184  | 0.5580          | 26.0225 |
+
+
 ### Framework versions
 
 - Transformers 4.52.0