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anton-l/
wav2vec2-xls-r-common_voice-tr-ft-100sh

Name: wav2vec2-xls-r-common_voice-tr-ft-100sh
Availability: InStock

automatic-speech-recognition

common_voice

generated_from_trainer

apache-2.0

endpoints_compatible

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wav2vec2-xls-r-common_voice-tr-ft

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the COMMON_VOICE - TR dataset. It achieves the following results on the evaluation set:

Loss: 0.5806
Wer: 0.3998
Cer: 0.1053

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: 0.0005
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 64
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.5369	17.0	500	0.6021	0.6366	0.1727
0.3542	34.0	1000	0.5265	0.4906	0.1278
0.1866	51.0	1500	0.5805	0.4768	0.1261
0.1674	68.01	2000	0.5336	0.4518	0.1186
0.19	86.0	2500	0.5676	0.4427	0.1151
0.0815	103.0	3000	0.5510	0.4268	0.1125
0.0545	120.0	3500	0.5608	0.4175	0.1099
0.0299	137.01	4000	0.5875	0.4222	0.1124
0.0267	155.0	4500	0.5882	0.4026	0.1063
0.025	172.0	5000	0.5806	0.3998	0.1053

Framework versions

Transformers 4.17.0.dev0
Pytorch 1.10.2
Datasets 1.18.2
Tokenizers 0.10.3

anton-l/wav2vec2-xls-r-common_voice-tr-ft-100sh

wav2vec2-xls-r-common_voice-tr-ft

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

anton-l/
wav2vec2-xls-r-common_voice-tr-ft-100sh