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

Loss: 0.9283
Wer: 0.4204

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: 0.001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
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: 600
num_epochs: 180
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.7974	15.58	300	2.8438	1.0
1.0661	31.17	600	0.7520	0.5781
0.1697	46.75	900	0.8342	0.5181
0.1081	62.34	1200	0.8508	0.5010
0.0833	77.92	1500	0.9216	0.5014
0.0616	93.51	1800	0.9659	0.4859
0.0463	109.09	2100	0.9606	0.4646
0.0356	124.68	2400	0.9255	0.4578
0.0291	140.26	2700	0.9889	0.4503
0.0218	155.84	3000	0.9336	0.4371
0.0182	171.43	3300	0.9283	0.4204

Framework versions

Transformers 4.39.1
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

EzraWilliam/wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod8

wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod8

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

EzraWilliam/
wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod8