PAN-2024-transformer-base_bert-base-spanish-wwm-cased_K3

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5070
• F1 Macro: 1.0
• F1: 1.0
• F1 Neg: 1.0
• Acc: 1.0
• Prec: 1.0
• Recall: 1.0
• Mcc: 1.0

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Macro	F1	F1 Neg	Acc	Prec	Recall	Mcc
No log	1.0	1	0.5070	1.0	1.0	1.0	1.0	1.0	1.0	1.0
No log	2.0	2	0.5370	0.3333	0.6667	0.0	0.5	0.5	1.0	0.0
No log	3.0	3	0.5509	0.3333	0.6667	0.0	0.5	0.5	1.0	0.0

Framework versions

• Transformers 4.37.2
• Pytorch 2.2.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.2