yaygomii/whisper-small-ta-peft-lora-fyp

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: yaygomii/whisper-small-ta-fyp
+model-index:
+- name: whisper-small-ta-peft-lora
+  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-ta-peft-lora
+
+This model is a fine-tuned version of [yaygomii/whisper-small-ta-fyp](https://huggingface.co/yaygomii/whisper-small-ta-fyp) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4112
+
+## 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: 0.001
+- 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: 50
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.4209        | 1.0   | 2071 | 0.4601          |
+| 0.3115        | 2.0   | 4142 | 0.4250          |
+| 0.1642        | 3.0   | 6213 | 0.4112          |
+
+
+### Framework versions
+
+- PEFT 0.9.1.dev0
+- Transformers 4.39.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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