This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice dataset. It achieves the following results on the evaluation set:

Loss: 0.3710
Wer: 0.2513
Cer: 0.0631

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

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
3.7484	3.23	400	0.5706	0.5698	0.1477
0.3419	6.45	800	0.4120	0.3758	0.0924
0.1796	9.68	1200	0.3691	0.3295	0.0843
0.125	12.9	1600	0.3821	0.3097	0.0782
0.0984	16.13	2000	0.4085	0.2947	0.0742
0.0827	19.35	2400	0.3859	0.2781	0.0711
0.0666	22.58	2800	0.3813	0.2663	0.0684
0.0558	25.81	3200	0.3681	0.2545	0.0644
0.0466	29.03	3600	0.3710	0.2513	0.0631

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 1.18.3
Tokenizers 0.13.3

rossevine/Model_G_2

Model_G_2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

rossevine/
Model_G_2