WAXAL-mas-lug-w2v-bert-2.0

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4765
• Cer: 0.0805

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: 5e-05
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
6.6303	1.4925	300	0.5245	0.1125
1.0716	2.9851	600	0.4405	0.0975
0.8162	4.4776	900	0.4249	0.0873
0.5850	5.9701	1200	0.4111	0.0857
0.3399	7.4627	1500	0.4113	0.0815
0.2084	8.9552	1800	0.4464	0.0807
0.2084	10.0	2010	0.4765	0.0805

Framework versions

• Transformers 5.13.0
• Pytorch 2.13.0+cu130
• Datasets 5.0.0
• Tokenizers 0.22.2