wav2vec2-large-xls-r-300m-as

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: 0.8318
• Wer: 0.5174

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_ratio: 0.12
• num_epochs: 120

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.882	25.0	400	1.2290	0.8182
0.8275	50.0	800	0.6835	0.5398
0.337	75.0	1200	0.7789	0.5107
0.2113	100.0	1600	0.8318	0.5174

Framework versions

• Transformers 4.16.2
• Pytorch 1.10.1+cu102
• Datasets 1.17.1.dev0
• Tokenizers 0.10.3

Test Evaluation

Common Voice Assamese Test Set (v7.0)

• WER: 0.7224
• CER: 0.2882