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isismeira127/
finetuned-bertimbau-portuguese-metaphors-3fold

Name: finetuned-bertimbau-portuguese-metaphors-3fold
Availability: InStock

generated_from_trainer

neuralmind/bert-base-portuguese-cased

finetune

mit

endpoints_compatible

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finetuned-bertimbau-portuguese-metaphors-3fold

This model is a fine-tuned version of neuralmind/bert-base-portuguese-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1405
Precision: 0.625
Recall: 0.4348
F1: 0.5128
Accuracy: 0.9724

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: 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
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.4006	1.0	23	0.2516	0.0	0.0	0.0	0.9240
0.2078	2.0	46	0.1660	0.375	0.1304	0.1935	0.9475
0.1226	3.0	69	0.1353	0.7273	0.3478	0.4706	0.9641
0.0678	4.0	92	0.1082	0.5882	0.4348	0.5	0.9682
0.0383	5.0	115	0.1125	0.6667	0.4348	0.5263	0.9710
0.0231	6.0	138	0.1205	0.625	0.4348	0.5128	0.9724
0.0138	7.0	161	0.1405	0.625	0.4348	0.5128	0.9724

Framework versions

Transformers 4.57.2
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1

isismeira127/finetuned-bertimbau-portuguese-metaphors-3fold

finetuned-bertimbau-portuguese-metaphors-3fold

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

isismeira127/
finetuned-bertimbau-portuguese-metaphors-3fold