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miosipof/
asr2_aug_IT_v4

Name: asr2_aug_IT_v4
Availability: InStock

peft

safetensors

generated_from_trainer

b-brave-balanced-augmented

miosipof/whisper-medium-it-luigisaetta

adapter

apache-2.0

model-index

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Whisper Medium IT

This model is a fine-tuned version of openai/whisper-medium on the b-brave-balanced-augmented dataset. It achieves the following results on the evaluation set:

Loss: 0.2996
Wer: 33.1108
Cer: 21.3778
Lr: 0.0000

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: 0.0003
train_batch_size: 50
eval_batch_size: 50
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 100
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_ratio: 0.3
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer	Lr
12.0253	1.0	83	1.0195	72.8972	40.7434	0.0002
1.5523	2.0	166	0.5319	50.0668	31.6288	0.0002
1.0161	3.0	249	0.3637	40.1869	25.7102	0.0001
0.5605	4.0	332	0.2996	33.1108	21.3778	0.0000

Framework versions

PEFT 0.15.1
Transformers 4.47.1
Pytorch 2.2.0
Datasets 3.5.0
Tokenizers 0.21.1

miosipof/asr2_aug_IT_v4

Whisper Medium IT

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

miosipof/
asr2_aug_IT_v4