Configuration Parsing Warning: In adapter_config.json: "peft.task_type" must be a string

Whisper Small Ro - PEFT

This model is a fine-tuned version of openai/whisper-small on the Romanian Speech Dataset + 5% Synthetic dataset. It achieves the following results on the evaluation set:

Loss: 0.4248
Wer: 106.5981

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: Use adamw_torch_fused 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: 100
training_steps: 100
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.0921	0.0113	50	1.0811	95.9014
0.6328	0.0227	100	0.4248	106.5981

Framework versions

PEFT 0.18.1.dev0
Transformers 4.57.1
Pytorch 2.9.1+rocm6.4
Datasets 3.6.0
Tokenizers 0.22.1

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Dataset used to train VladS159/test2

Evaluation results

Wer on Romanian Speech Dataset + 5% Synthetic
self-reported

106.598