This model is a fine-tuned version of facebook/w2v-bert-2.0 on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

eval_loss: 1.8753
eval_wer: 1.0722
eval_cer: 0.2745
eval_runtime: 222.9507
eval_samples_per_second: 19.202
eval_steps_per_second: 2.404
epoch: 30.7692
step: 5000

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: 0.001
train_batch_size: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 1000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

LevonHakobyan/bs_32_adapter_head_l23_const_lr_1e-3

bs_32_adapter_head_l23_const_lr_1e-3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Framework versions

LevonHakobyan/
bs_32_adapter_head_l23_const_lr_1e-3