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

Name: wav2vec2-xls-r-common_voice-tr-ft
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-500sh

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: 0.5794
Wer: 0.4009
Cer: 0.1032

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
0.5288	17.0	500	0.5099	0.5426	0.1432
0.2967	34.0	1000	0.5421	0.4746	0.1256
0.2447	51.0	1500	0.5347	0.4831	0.1267
0.122	68.01	2000	0.5854	0.4479	0.1161
0.1035	86.0	2500	0.5597	0.4457	0.1166
0.081	103.0	3000	0.5748	0.4250	0.1144
0.0849	120.0	3500	0.5598	0.4337	0.1145
0.0542	137.01	4000	0.5687	0.4223	0.1097
0.0318	155.0	4500	0.5904	0.4057	0.1052
0.0106	172.0	5000	0.5794	0.4009	0.1032

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

wav2vec2-xls-r-common_voice-tr-ft-500sh

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