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

Loss: 0.3499
Wer: 0.2729
Cer: 0.0673

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
3.8708	3.23	400	0.7345	0.7259	0.2034
0.4247	6.45	800	0.4128	0.4268	0.1102
0.2047	9.68	1200	0.3726	0.3795	0.0930
0.1422	12.9	1600	0.3690	0.3514	0.0884
0.1139	16.13	2000	0.3811	0.3160	0.0794
0.089	19.35	2400	0.3650	0.2895	0.0731
0.0709	22.58	2800	0.3629	0.2944	0.0727
0.0594	25.81	3200	0.3538	0.2779	0.0692
0.0478	29.03	3600	0.3499	0.2729	0.0673

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 1.18.3
Tokenizers 0.13.3

rossevine/Check_Model_2

Check_Model_2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

rossevine/
Check_Model_2