Kittech
/

whisper-tiny-sn-with-local-data

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 ---
 library_name: peft
 base_model: openai/whisper-tiny
 ---
-# Model Card for Model ID
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 ### Framework versions
-- PEFT 0.10.1.dev0

 ---
+language:
+- sn
+license: apache-2.0
 library_name: peft
+tags:
+- whisper-event and peft-lora
+- generated_from_trainer
 base_model: openai/whisper-tiny
+datasets:
+- google/fleurs
+metrics:
+- wer
+model-index:
+- name: Whisper Small Sn - Bright Chirindo
+  results:
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: Kingdom Truth International Ministries sermons
+      type: google/fleurs
+    metrics:
+    - type: wer
+      value: 121.68949771689496
+      name: Wer
 ---
+<!-- 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 Sn - Bright Chirindo
+This model is a fine-tuned version of [kittech/whisper-tiny-sn](https://huggingface.co/kittech/whisper-tiny-sn) on the Kingdom Truth International Ministries sermons dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.3219
+- Wer: 121.6895
+## Model description
+More information needed
+## Intended uses & limitations
+More information needed
+## Training and evaluation data
+More information needed
+## Training procedure
+### Training hyperparameters
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+### Training results
+| Training Loss | Epoch  | Step | Validation Loss | Wer      |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 4.9342        | 500.0  | 2500 | 5.4289          | 138.4323 |
+| 4.5143        | 1000.0 | 5000 | 5.3219          | 121.6895 |
 ### Framework versions
+- PEFT 0.10.1.dev0
+- Transformers 4.40.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.2.dev0
+- Tokenizers 0.19.1

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