wav2vec2-large-xls-r-1B-common_voice-sl-ft

This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the common_voice dataset. It achieves the following results on the evaluation set:

• Loss: 0.2112
• Wer: 0.1404

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: 3e-05
• train_batch_size: 32
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 400
• num_epochs: 100
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.8291	12.2	500	0.5674	0.7611
0.0416	24.39	1000	0.3093	0.2964
0.0256	36.59	1500	0.2224	0.2072
0.0179	48.78	2000	0.2274	0.1960
0.0113	60.98	2500	0.2078	0.1582
0.0086	73.17	3000	0.1898	0.1552
0.0059	85.37	3500	0.2054	0.1446
0.0044	97.56	4000	0.2112	0.1404

Framework versions

• Transformers 4.16.0.dev0
• Pytorch 1.10.1+cu102
• Datasets 1.17.1.dev0
• Tokenizers 0.10.3