wav2vec2-xls-r-300m-cv8-turkish

The following datasets were used for finetuning: - Common Voice 8.0 TR All `validated` split except `test` split was used for training. To support the datasets above, custom pre-processing and loading steps was performed and wav2vec2-turkish repo was used for that purpose. The following hypermaters were used for finetuning: - learning_rate 2.5e-4 - num_train_epochs 20 - warmup_steps 500 - freeze_feature_extractor - mask_time_prob 0.1 - mask_feature_prob 0.1 - feat_proj_dropout 0.05 - attention_dropout 0.05 - final_dropout 0.1 - activation_dropout 0.05 - per_device_train_batch_size 8 - per_device_eval_batch_size 8 - gradient_accumulation_steps 8

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