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In adapter_config.json: "peft.task_type" must be a string
whisper-base-akan-v1
This model is a fine-tuned version of openai/whisper-base on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.0085
- eval_runtime: 32.8168
- eval_samples_per_second: 6.094
- eval_steps_per_second: 0.762
- epoch: 20.0
- step: 1000
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: 0.0001
- train_batch_size: 16
- 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
- training_steps: 2000
- mixed_precision_training: Native AMP
Framework versions
- PEFT 0.13.3.dev0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Model tree for devkyle/base-lora-v1
Base model
openai/whisper-base