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arthurtechia/
beto_sarcasmo_bs32

Name: beto_sarcasmo_bs32
Availability: InStock

generated_from_trainer

dccuchile/bert-base-spanish-wwm-cased

finetune

text-embeddings-inference

endpoints_compatible

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beto_sarcasmo_bs32

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: 0.0017
F1 Macro: 0.9997
Recall Macro: 0.9997
Precision Macro: 0.9997

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: 32
eval_batch_size: 32
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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Macro	Recall Macro	Precision Macro
No log	1.0	478	0.2649	0.8903	0.8963	0.8865
0.3242	2.0	956	0.2594	0.9113	0.9109	0.9116
0.1423	3.0	1434	0.3783	0.9158	0.9161	0.9155
0.0752	4.0	1912	0.5054	0.9101	0.9148	0.9067
0.0356	5.0	2390	0.5602	0.9175	0.9183	0.9168
0.0169	6.0	2868	0.6233	0.9160	0.9171	0.9149
0.0088	7.0	3346	0.6389	0.9167	0.9161	0.9174
0.0055	8.0	3824	0.6461	0.9175	0.9166	0.9184

Framework versions

Transformers 5.10.2
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

arthurtechia/beto_sarcasmo_bs32

beto_sarcasmo_bs32

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

arthurtechia/
beto_sarcasmo_bs32