ConfliBERT Spanish
Collection
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Updated
ConfliBERT-multilingual-cased
This model is a fine-tuned version of ../models/bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8142
- Accuracy: 0.8094
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.0.dev20231003+cu121
- Datasets 2.14.5
- Tokenizers 0.19.1
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