This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the GOOGLE/XTREME_S - MINDS14.EN-US dataset. It achieves the following results on the evaluation set:

Loss: 0.5685
F1: 0.8747
Accuracy: 0.8759

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: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 32
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 50.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Accuracy
2.6195	3.95	20	2.6348	0.0172	0.0816
2.5925	7.95	40	2.6119	0.0352	0.0851
2.1271	11.95	60	2.3066	0.1556	0.1986
1.2618	15.95	80	1.3810	0.6877	0.7128
0.5455	19.95	100	1.0403	0.6992	0.7270
0.2571	23.95	120	0.8423	0.8160	0.8121
0.3478	27.95	140	0.6500	0.8516	0.8440
0.0732	31.95	160	0.7066	0.8123	0.8156
0.1092	35.95	180	0.5878	0.8767	0.8759
0.0271	39.95	200	0.5994	0.8578	0.8617
0.4664	43.95	220	0.7830	0.8403	0.8440
0.0192	47.95	240	0.5685	0.8747	0.8759

Framework versions

Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1

Splend1dchan/xtreme_s_xlsr_300m_minds14.en-US_2

xtreme_s_xlsr_300m_minds14.en-US_2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Splend1dchan/
xtreme_s_xlsr_300m_minds14.en-US_2