cahya/wav2vec2-base-turkish-cv7

This model is a fine-tuned version of cahya/wav2vec2-base-turkish-artificial on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - TR dataset. It achieves the following results on the evaluation set:

Loss: 0.2893
Wer: 0.2713

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: 128
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 512
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 100.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.8647	14.28	200	0.2758	0.2568
1.3376	28.56	400	0.2754	0.2722
1.1975	42.84	600	0.2929	0.2901
1.1024	57.14	800	0.2904	0.2928
1.0257	71.42	1000	0.2915	0.2823
0.9628	85.7	1200	0.2936	0.2749
0.9109	99.98	1400	0.2893	0.2713

Framework versions

Transformers 4.17.0.dev0
Pytorch 1.10.2+cu102
Datasets 1.18.3
Tokenizers 0.11.0

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