JhonMR
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RoBertaLex_v12

Text Classification

Generated from Trainer

text-embeddings-inference

Model card Files Files and versions

RoBertaLex_v12

This model is a fine-tuned version of PlanTL-GOB-ES/RoBERTalex on the None dataset. It achieves the following results on the evaluation set:

Accuracy: 0.8997
F1: 0.8995
Precision: 0.9028
Recall: 0.9010
Loss: 0.4588

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 500
num_epochs: 12

Training results

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1

Downloads last month: 2

Safetensors

Model size

0.1B params

Tensor type

F32

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