wav2vec2-large-xls-r-300m-turkish-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: 0.3942
• Wer: 0.3149

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
3.9921	3.67	400	0.7820	0.7857
0.4496	7.34	800	0.4630	0.4977
0.2057	11.01	1200	0.4293	0.4627
0.1328	14.68	1600	0.4464	0.4068
0.1009	18.35	2000	0.4461	0.3742
0.0794	22.02	2400	0.4328	0.3467
0.0628	25.69	2800	0.4036	0.3263
0.0497	29.36	3200	0.3942	0.3149

Framework versions

• Transformers 4.11.3
• Pytorch 1.10.0+cu111
• Datasets 1.13.3
• Tokenizers 0.10.3