xlsr_ur_training

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice_8_0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.8325
• Wer: 0.4863

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 30
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
6.9537	3.25	1000	3.0940	0.9989
2.1696	6.49	2000	0.9705	0.6830
0.8637	9.74	3000	0.8098	0.5919
0.6297	12.99	4000	0.8002	0.5469
0.5034	16.23	5000	0.8019	0.5214
0.4267	19.48	6000	0.8223	0.5085
0.3847	22.73	7000	0.8081	0.4948
0.342	25.97	8000	0.8300	0.4930
0.3201	29.22	9000	0.8325	0.4863

Framework versions

• Transformers 4.21.0
• Pytorch 1.11.0+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1