ConfliBERT Arabic
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ConfliBERT-Arabic-arabertv2
This model is a fine-tuned version of ../models/bert-base-arabertv2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6277
- Accuracy: 0.8642
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 4.26.0
- Pytorch 1.13.0.dev20220616
- Datasets 2.8.0
- Tokenizers 0.13.2
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