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miosipof/
asr2_aug_IT_v5_full

Name: asr2_aug_IT_v5_full
Availability: InStock

transformers

safetensors

whisper

automatic-speech-recognition

generated_from_trainer

b-brave-balanced-augmented

miosipof/asr2_aug_IT_v4_merged

finetune

model-index

endpoints_compatible

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Whisper Medium IT

This model is a fine-tuned version of miosipof/asr2_aug_IT_v4_merged on the b-brave-balanced-augmented dataset. It achieves the following results on the evaluation set:

Loss: 0.1611
Wer: 19.0255
Cer: 12.3586
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: 1e-05
train_batch_size: 32
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
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
No log	0.9829	43	0.2443	25.7541	18.4332
0.7954	1.9829	86	0.2087	24.3619	16.3385
0.4587	2.9829	129	0.1720	22.9698	15.7101
0.197	3.9829	172	0.1611	19.0255	12.3586

Framework versions

Transformers 4.47.1
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1

miosipof/asr2_aug_IT_v5_full

Whisper Medium IT

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

miosipof/
asr2_aug_IT_v5_full