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ConfliBERT-Arabic-Multilingual-Uncased-v2
eventdata-utd/ConfliBERT-Arabic-Multilingual-Uncased-v2
ConfliBERT-Arabic-Multilingual-Uncased-v2 is a machine learning model from eventdata-utd. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- bert
- Access
- Public
- Created
- Sep 18, 2024
- Updated
- Sep 18, 2024
- SHA
- 01aa6703
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Type
- bert
- Created
- Sep 18, 2024
- Updated
- Sep 18, 2024