Model save

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- base_model:adapter:openai/whisper-small
+- lora
+- transformers
+datasets:
+- fleurs
+model-index:
+- name: whisper-small-vi
+  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-small-vi
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the fleurs dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0037
+
+## 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: 4
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.5089        | 2.0   | 100  | 1.6451          |
+| 1.1752        | 4.0   | 200  | 1.3629          |
+| 0.9386        | 6.0   | 300  | 1.0973          |
+| 0.8485        | 8.0   | 400  | 1.0182          |
+| 0.8277        | 10.0  | 500  | 1.0037          |
+
+
+### Framework versions
+
+- PEFT 0.17.1
+- Transformers 4.49.0
+- Pytorch 2.6.0+cu126
+- Datasets 3.6.0
+- Tokenizers 0.21.4

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