anuragshas/wav2vec2-xls-r-300m-or-cv9-with-lm

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_9_0 - OR dataset. It achieves the following results on the evaluation set:

• Loss: 0.7886
• Wer: 0.5495
• Cer: 0.1311

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: 64
• eval_batch_size: 64
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• training_steps: 3071
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
3.5875	66.62	400	3.4289	1.0	1.0
1.4065	133.31	800	0.7243	0.6619	0.1734
1.007	199.92	1200	0.6611	0.5831	0.1457
0.7984	266.62	1600	0.6387	0.5520	0.1332
0.6117	333.31	2000	0.7424	0.5682	0.1376
0.4926	399.92	2400	0.7627	0.5514	0.1314
0.416	466.62	2800	0.7816	0.5604	0.1320

Framework versions

• Transformers 4.19.0.dev0
• Pytorch 1.11.0+cu102
• Datasets 2.1.1.dev0
• Tokenizers 0.12.1