XLS-R_timit_en

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3799
• Wer: 0.3019

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
3.5228	3.3	1000	0.9889	0.8394
0.6617	6.6	2000	0.3566	0.4027
0.3177	9.9	3000	0.3112	0.3606
0.2262	13.2	4000	0.3521	0.3324
0.1683	16.5	5000	0.3563	0.3260
0.137	19.8	6000	0.3605	0.3149
0.1139	23.1	7000	0.3768	0.3069
0.1068	26.4	8000	0.3643	0.3044
0.0897	29.7	9000	0.3799	0.3019

Framework versions

• Transformers 4.17.0
• Pytorch 1.12.1+cu113
• Datasets 1.18.3
• Tokenizers 0.13.0