albert-model-mesa-ayuda

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albert-model-mesa-ayuda

This model is a fine-tuned version of dccuchile/albert-base-spanish on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3099
• Accuracy: 0.9162
• F1: 0.9148
• Precision: 0.9156
• Recall: 0.9162

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: 5e-05
• train_batch_size: 28
• eval_batch_size: 28
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2