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README.md ADDED
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+ ---
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+ library_name: peft
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+ language:
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+ - ha
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+ license: apache-2.0
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+ base_model: openai/whisper-small
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - eldad-akhaumere/common_voice_16_0_
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+ model-index:
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+ - name: Whisper Small_LoRA Ha - Eldad Akhaumere
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # Whisper Small_LoRA Ha - Eldad Akhaumere
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+
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.0_ dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.0708
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: constant_with_warmup
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+ - lr_scheduler_warmup_steps: 50
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+ - num_epochs: 20.0
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-------:|:----:|:---------------:|
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+ | 3.0616 | 1.5924 | 250 | 2.9990 |
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+ | 2.1053 | 3.1847 | 500 | 2.1317 |
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+ | 2.0123 | 4.7771 | 750 | 2.0903 |
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+ | 1.9218 | 6.3694 | 1000 | 2.0661 |
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+ | 1.894 | 7.9618 | 1250 | 2.0513 |
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+ | 1.7961 | 9.5541 | 1500 | 2.0348 |
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+ | 1.764 | 11.1465 | 1750 | 2.0300 |
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+ | 1.748 | 12.7389 | 2000 | 2.0210 |
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+ | 1.6554 | 14.3312 | 2250 | 2.0353 |
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+ | 1.6556 | 15.9236 | 2500 | 2.0369 |
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+ | 1.6059 | 17.5159 | 2750 | 2.0441 |
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+ | 1.5215 | 19.1083 | 3000 | 2.0708 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.14.1.dev0
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+ - Transformers 4.48.0.dev0
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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