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raulgdp/
beto-sarcasmo-spanish-2026

Name: beto-sarcasmo-spanish-2026
Availability: InStock

generated_from_trainer

dccuchile/bert-base-spanish-wwm-cased

finetune

text-embeddings-inference

endpoints_compatible

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beto-sarcasmo-spanish-2026

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: 0.5472
Accuracy: 0.9243
Precision: 0.9242
Recall: 0.9243
F1: 0.9243

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: 32
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.2549	1.0	955	0.2520	0.9097	0.9109	0.9097	0.9100
0.1199	2.0	1910	0.2944	0.9207	0.9212	0.9207	0.9208
0.054	3.0	2865	0.4026	0.9241	0.9239	0.9241	0.9239
0.0261	4.0	3820	0.5094	0.9233	0.9231	0.9233	0.9231
0.0008	5.0	4775	0.5472	0.9243	0.9242	0.9243	0.9243

Framework versions

Transformers 4.57.1
Pytorch 2.7.1+cu118
Datasets 4.2.0
Tokenizers 0.22.1

raulgdp/beto-sarcasmo-spanish-2026

beto-sarcasmo-spanish-2026

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

raulgdp/
beto-sarcasmo-spanish-2026