Kittech
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whisper-tiny-sn

@@ -1,202 +1,86 @@
 ---
 library_name: peft
 base_model: openai/whisper-tiny
 ---
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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 Tiny Sn - Bright Chirindo
+  results:
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: Google Fleurs
+      type: google/fleurs
+      config: sn_zw
+      split: None
+      args: sn_zw
+    metrics:
+    - type: wer
+      value: 95.27619047619048
+      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 Tiny Sn - Bright Chirindo
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Google Fleurs dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9909
+- Wer: 95.2762
+## 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: 8
+- 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      |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| 2.087         | 3.0164  | 1000 | 2.4026          | 109.4095 |
+| 1.8305        | 6.0328  | 2000 | 2.1613          | 101.2419 |
+| 1.7145        | 9.0492  | 3000 | 2.0536          | 99.8705  |
+| 1.6314        | 13.0044 | 4000 | 2.0050          | 99.0095  |
+| 1.665         | 16.0208 | 5000 | 1.9909          | 95.2762  |
 ### 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