This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_1_0 dataset. It achieves the following results on the evaluation set:

Loss: 2.9344
Wer: 1.0

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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
3.5792	2.68	400	2.9642	1.0
2.9539	5.35	800	2.9882	1.0
2.9476	8.03	1200	3.0384	1.0
2.9497	10.7	1600	2.9524	1.0
2.9562	13.38	2000	2.9332	1.0
2.945	16.05	2400	2.9858	1.0
2.9383	18.73	2800	2.9419	1.0
2.9311	21.4	3200	2.9328	1.0
2.9298	24.08	3600	2.9375	1.0
2.9273	26.76	4000	2.9352	1.0
2.921	29.43	4400	2.9344	1.0

Framework versions

Transformers 4.32.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

MarioNapoli/DynamicWav2Vec_TEST_10

DynamicWav2Vec_TEST_10

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MarioNapoli/
DynamicWav2Vec_TEST_10