This model is a fine-tuned version of openai/whisper-large on the /30_NLEM_Aug_audios_dataset dataset. It achieves the following results on the evaluation set:

Loss: 0.0000
Wer: 0.0

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: 1e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
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: 10
training_steps: 218
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.0529	1.0	44	0.0042
0.0003	2.0	88	0.0001
0.0	3.0	132	0.0000
0.0	4.0	176	0.0000

Framework versions

Transformers 4.50.3
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0

deepinfinityai/v01_Model

v01_30_NLEM_Aug_Tablets_Model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

deepinfinityai/
v01_Model