wav2vec2-large-xls-r-300m-hi

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

• Loss: 2.4156
• Wer: 0.7181

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: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• 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
5.7703	2.72	400	2.2274	0.9259
0.6515	5.44	800	1.5812	0.7581
0.339	8.16	1200	2.0590	0.7825
0.2262	10.88	1600	2.0324	0.7603
0.1665	13.6	2000	2.1396	0.7481
0.1311	16.33	2400	2.2090	0.7379
0.1079	19.05	2800	2.3907	0.7612
0.0927	21.77	3200	2.5294	0.7478
0.0748	24.49	3600	2.5024	0.7452
0.0644	27.21	4000	2.4715	0.7307
0.0569	29.93	4400	2.4156	0.7181

Framework versions

• Transformers 4.15.0
• Pytorch 1.10.0+cu111
• Datasets 1.17.0
• Tokenizers 0.10.3