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ConfliBERT-Arabic-Multilingual-Uncased-v2 – AI Model by eventdata-utd | AlphaNeural AI
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ConfliBERT-Arabic-Multilingual-Uncased-v2
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pytorch
bert
generated_from_trainer
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ConfliBERT-Arabic-multilingual-uncased
This model is a fine-tuned version of
../models/bert-base-multilingual-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4586
Accuracy: 0.8897
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
training_steps: 944187
Training results
Framework versions
Transformers 4.26.0
Pytorch 1.13.0.dev20220616
Datasets 2.8.0
Tokenizers 0.13.2
