This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.4509
Wer: 0.4245

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: 0.0002
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: 250
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.1089	1.1707	120	2.9271	1.0
2.1217	2.3415	240	0.8076	0.7261
0.5442	3.5122	360	0.4935	0.5490
0.3041	4.6829	480	0.4464	0.4832
0.2184	5.8537	600	0.4263	0.4554
0.1675	7.0244	720	0.4416	0.4488
0.138	8.1951	840	0.4512	0.4380
0.1167	9.3659	960	0.4509	0.4245

Framework versions

Transformers 4.41.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

nbaden/wav2vec2-large-xls-r-300m-test1yakutsi-colab

wav2vec2-large-xls-r-300m-test1yakutsi-colab

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

nbaden/
wav2vec2-large-xls-r-300m-test1yakutsi-colab