tfm-bert-mejorado-sesgo – AI Model by carmengoar | AlphaNeural AI

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carmengoar/
tfm-bert-mejorado-sesgo

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text-classification

generated_from_trainer

answerdotai/ModernBERT-base

text-embeddings-inference

endpoints_compatible

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tfm-bert-mejorado-sesgo

This model is a fine-tuned version of answerdotai/ModernBERT-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.7497
Accuracy: 0.375
Macro F1: 0.3465

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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Macro F1
No log	1.0	7	1.9390	0.25	0.1583
No log	2.0	14	1.8899	0.3333	0.2587
No log	3.0	21	1.8160	0.25	0.1940
No log	4.0	28	1.7202	0.3333	0.2808
No log	5.0	35	1.6640	0.375	0.3070
No log	6.0	42	1.6741	0.375	0.3581
No log	7.0	49	1.7438	0.375	0.3465
No log	8.0	56	1.7497	0.375	0.3465

Framework versions

Transformers 5.8.1
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2