anuragshas/wav2vec2-xls-r-300m-pa-IN-cv8-with-lm

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - PA-IN dataset. It achieves the following results on the evaluation set:

• Loss: 0.6864
• Wer: 0.6707

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: 7.5e-05
• train_batch_size: 32
• eval_batch_size: 16
• 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: 200.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.3322	14.81	400	3.7450	1.0
3.2662	29.63	800	3.2571	0.9996
1.6408	44.44	1200	0.9098	0.8162
1.2289	59.26	1600	0.6757	0.7099
1.0551	74.07	2000	0.6417	0.7044
0.966	88.89	2400	0.6365	0.6789
0.8713	103.7	2800	0.6617	0.6954
0.8055	118.52	3200	0.6371	0.6762
0.7489	133.33	3600	0.6798	0.6911
0.7073	148.15	4000	0.6567	0.6731
0.6609	162.96	4400	0.6742	0.6840
0.6435	177.78	4800	0.6862	0.6633
0.6282	192.59	5200	0.6865	0.6731

Framework versions

• Transformers 4.17.0.dev0
• Pytorch 1.10.2+cu102
• Datasets 1.18.4.dev0
• Tokenizers 0.11.0