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: 1.6613
eval_wer: 0.9996
eval_cer: 0.5802
eval_runtime: 227.132
eval_samples_per_second: 18.848
eval_steps_per_second: 2.36
epoch: 63.0769
step: 20500

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: 0.0001
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: 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/head_l23_const_lr_1e-4

head_l23_const_lr_1e-4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Framework versions

LevonHakobyan/
head_l23_const_lr_1e-4