sudoping01
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maliba-asr-v3-exp

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

bambara-whisper-large

This model is a fine-tuned version of openai/whisper-large-v2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5315

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

learning_rate: 0.001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: adamw_torch
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.6556	1.0	1163	0.6901
0.5034	2.0	2326	0.5877
0.3637	3.0	3489	0.5327
0.2518	3.997	4648	0.5315

Framework versions

PEFT 0.14.1.dev0
Transformers 4.49.0.dev0
PyTorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0

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Evaluation results