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README.md
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---
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base_model: openai/whisper-base
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library_name: peft
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: whisper-base-akan-v1
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results: []
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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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# whisper-base-akan-v1
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0715
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 50
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- training_steps: 3000
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.8659 | 5.0 | 250 | 1.6244 |
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| 1.2252 | 10.0 | 500 | 1.3473 |
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| 1.0708 | 15.0 | 750 | 1.2260 |
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| 0.922 | 20.0 | 1000 | 1.1617 |
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| 0.8532 | 25.0 | 1250 | 1.1217 |
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| 0.7747 | 30.0 | 1500 | 1.0973 |
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| 0.7356 | 35.0 | 1750 | 1.0864 |
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| 0.6894 | 40.0 | 2000 | 1.0767 |
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| 0.6671 | 45.0 | 2250 | 1.0746 |
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| 0.642 | 50.0 | 2500 | 1.0719 |
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| 0.6306 | 55.0 | 2750 | 1.0707 |
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| 0.6225 | 60.0 | 3000 | 1.0715 |
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### Framework versions
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- PEFT 0.13.2.dev0
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.1
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- Tokenizers 0.19.1
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