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MarioNapoli/
prova_codice_01

Name: prova_codice_01
Availability: InStock

automatic-speech-recognition

generated_from_trainer

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prova_codice_01

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.3804
Wer: 0.2560

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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.6378	3.39	400	0.3791	0.3805
0.2294	6.78	800	0.3722	0.3490
0.1374	10.17	1200	0.3786	0.3267
0.0994	13.56	1600	0.3894	0.3170
0.0759	16.95	2000	0.3841	0.2858
0.0567	20.34	2400	0.3869	0.2764
0.0441	23.73	2800	0.3841	0.2602
0.0355	27.12	3200	0.3804	0.2560

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3

MarioNapoli/prova_codice_01

prova_codice_01

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MarioNapoli/
prova_codice_01