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pfcperez/
bert-base-spanish-wwm-cased-ram-project-nlp

Name: bert-base-spanish-wwm-cased-ram-project-nlp
Availability: InStock

generated_from_trainer

dccuchile/bert-base-spanish-wwm-cased

finetune

text-embeddings-inference

endpoints_compatible

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bert-base-spanish-wwm-cased-ram-project-nlp

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: 0.4532
Accuracy: 0.8555

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: 8
eval_batch_size: 8
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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3503	1.0	2500	0.3587	0.8505
0.2696	2.0	5000	0.4532	0.8555

Framework versions

Transformers 4.57.6
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2

pfcperez/bert-base-spanish-wwm-cased-ram-project-nlp

bert-base-spanish-wwm-cased-ram-project-nlp

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

pfcperez/
bert-base-spanish-wwm-cased-ram-project-nlp