wav2vec2-large-xls-r-300m-hungarian-colab

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: 0.6404
• Wer: 0.4662

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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.4833	4.0	400	0.6493	0.6491
0.2282	8.0	800	0.6395	0.5555
0.1612	12.0	1200	0.6841	0.5423
0.1207	16.0	1600	0.6646	0.5224
0.0929	20.0	2000	0.6355	0.4908
0.0713	24.0	2400	0.6410	0.4711
0.0613	28.0	2800	0.6404	0.4662

Framework versions

• Transformers 4.11.3
• Pytorch 1.10.0+cu113
• Datasets 1.18.3
• Tokenizers 0.10.3