Kittech
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whisper-tiny-sn

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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

 ---
+license: apache-2.0
 library_name: peft
+tags:
+- generated_from_trainer
 base_model: openai/whisper-tiny
+datasets:
+- fleurs
+metrics:
+- wer
+model-index:
+- name: whisper-tiny-sn
+  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-tiny-sn
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the fleurs dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0290
+- Wer: 102.3394
+## 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      |
+|:-------------:|:--------:|:----:|:---------------:|:--------:|
+| 2.2019        | 20.004   | 1000 | 2.3802          | 115.3684 |
+| 1.9073        | 40.008   | 2000 | 2.1604          | 109.8738 |
+| 1.627         | 61.0022  | 3000 | 2.0730          | 103.5377 |
+| 1.592         | 81.0062  | 4000 | 2.0376          | 102.1481 |
+| 1.5151        | 102.0004 | 5000 | 2.0290          | 102.3394 |
 ### Framework versions
+- PEFT 0.10.1.dev0
+- Transformers 4.41.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.2.dev0
+- Tokenizers 0.19.1

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