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

Loss: 0.3524
Wer: 0.3383
Cer: 0.1054

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: 3e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.7427	0.2236	250	0.4935	0.4386	0.1293
0.6489	0.4472	500	0.4214	0.3674	0.1133
0.3253	0.6708	750	0.3839	0.3446	0.1077
0.3311	0.8945	1000	0.3524	0.3381	0.1054

Framework versions

Transformers 4.48.1
Pytorch 2.8.0+cu128
Datasets 5.0.1
Tokenizers 0.21.4

ayymen/w2v-bert-2.0-waxal_lin_sna-1epoch

w2v-bert-2.0-waxal_lin_sna-1epoch

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ayymen/
w2v-bert-2.0-waxal_lin_sna-1epoch