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resul-ai/
wav2vec2-large-xls-r-300m-tr

Name: wav2vec2-large-xls-r-300m-tr
Availability: InStock

automatic-speech-recognition

generated_from_trainer

hf-asr-leaderboard

apache-2.0

endpoints_compatible

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wav2vec2-large-xls-r-300m-tr

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: 0.2841
Wer: 0.2904

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: 3e-05
train_batch_size: 7
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 14
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
5.0805	4.03	1000	3.0333	1.0
1.5733	8.06	2000	0.5545	0.5080
0.6238	12.1	3000	0.3861	0.3977
0.4535	16.13	4000	0.3253	0.3408
0.3682	20.16	5000	0.3042	0.3177
0.3302	24.19	6000	0.2950	0.3015
0.2985	28.23	7000	0.2841	0.2904

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu113
Datasets 1.18.3
Tokenizers 0.10.3

resul-ai/wav2vec2-large-xls-r-300m-tr

wav2vec2-large-xls-r-300m-tr

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

resul-ai/
wav2vec2-large-xls-r-300m-tr