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MrBERT-es-platzi-project-nlp-con-transformers – AI Model by cabustillo13 | AlphaNeural AI
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cabustillo13
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MrBERT-es-platzi-project-nlp-con-transformers
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transformers
safetensors
modernbert
text-classification
generated_from_trainer
BSC-LT/MrBERT-es
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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MrBERT-es-platzi-project-nlp-con-transformers
This model is a fine-tuned version of
BSC-LT/MrBERT-es
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4539
Accuracy: 0.8603
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
0.3357
1.0
2500
0.3521
0.8560
0.2506
2.0
5000
0.4539
0.8603
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2