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mfaiq2307/
faiq-wav2vec2-large-xlsr-indo-demo-a100-runpod-wandb

Name: faiq-wav2vec2-large-xlsr-indo-demo-a100-runpod-wandb
Availability: InStock

transformers

pytorch

wav2vec2

automatic-speech-recognition

generated_from_trainer

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faiq-wav2vec2-large-xlsr-indo-demo-a100-runpod-wandb

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.4018
Wer: 0.4316

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: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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
5.1582	2.92	400	2.8179	1.0
1.529	5.84	800	0.4891	0.6339
0.4003	8.76	1200	0.4013	0.5365
0.2715	11.68	1600	0.3853	0.4893
0.2153	14.6	2000	0.3898	0.4738
0.1704	17.52	2400	0.4153	0.4593
0.1545	20.44	2800	0.4112	0.4515
0.1317	23.36	3200	0.3920	0.4460
0.1199	26.28	3600	0.4068	0.4347
0.1073	29.2	4000	0.4018	0.4316

Framework versions

Transformers 4.28.0
Pytorch 2.0.0+cu117
Datasets 2.6.1
Tokenizers 0.13.3

mfaiq2307/faiq-wav2vec2-large-xlsr-indo-demo-a100-runpod-wandb

faiq-wav2vec2-large-xlsr-indo-demo-a100-runpod-wandb

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mfaiq2307/
faiq-wav2vec2-large-xlsr-indo-demo-a100-runpod-wandb