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maliba-asr-v0

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

maliba-asr-v0

This model is a fine-tuned version of openai/whisper-large-v3 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2265

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
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use adamw_torch 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: 50
num_epochs: 6
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4581	0.9998	3502	0.2683
0.3656	1.9998	7004	0.2527
0.3463	2.9998	10506	0.2447
0.2788	3.9998	14008	0.2405
0.2607	4.9998	17510	0.2277
0.202	5.9998	21012	0.2265

Framework versions

PEFT 0.14.1.dev0
Transformers 4.50.0.dev0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0

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Evaluation results

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