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pavle-tsotskolauri/
wav2vec2-large-xls-r-2b-georgian-v0.1

Name: wav2vec2-large-xls-r-2b-georgian-v0.1
Availability: InStock

automatic-speech-recognition

generated_from_trainer

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wav2vec2-large-xls-r-2b-georgian-v0.1

This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the common_voice dataset. It achieves the following results on the evaluation set:

Loss: 0.2114
Wer: 0.3321

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: 7e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 500
num_epochs: 50
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.0674	8.16	400	1.4635	0.9765
1.6887	16.32	800	0.2869	0.4384
1.2844	24.48	1200	0.2669	0.3869
1.0713	32.64	1600	0.2244	0.3695
0.9464	40.8	2000	0.2126	0.3378
0.9069	48.96	2400	0.2114	0.3321

Framework versions

Transformers 4.26.1
Pytorch 1.10.0+cu113
Datasets 2.9.0
Tokenizers 0.13.2

pavle-tsotskolauri/wav2vec2-large-xls-r-2b-georgian-v0.1

wav2vec2-large-xls-r-2b-georgian-v0.1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

pavle-tsotskolauri/
wav2vec2-large-xls-r-2b-georgian-v0.1