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thetkrans/
ft_checkpoints

generated_from_trainer

dccuchile/bert-base-spanish-wwm-cased

finetune

endpoints_compatible

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ft_checkpoints

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

Loss: 1.5479
Accuracy: 0.4615
F1: 0.4354

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: 8
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
1.4168	1.0	26	1.2937	0.5192	0.4251
1.0537	2.0	52	1.3103	0.3846	0.2389
0.8208	3.0	78	1.4127	0.4231	0.2685
0.7214	4.0	104	1.4151	0.4231	0.3658
0.5100	5.0	130	1.5376	0.4231	0.4015
0.3777	6.0	156	1.5479	0.4615	0.4354

Framework versions

Transformers 5.13.1
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

thetkrans/ft_checkpoints

ft_checkpoints

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

thetkrans/
ft_checkpoints