bert-base-arabic-camelbert-msa-sixteenth-xnli-finetuned
This model is a fine-tuned version of CAMeL-Lab/bert-base-arabic-camelbert-msa-sixteenth on the xnli dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.6446
- eval_accuracy: 0.7295
- eval_f1: 0.7286
- eval_runtime: 72.1081
- eval_samples_per_second: 69.479
- eval_steps_per_second: 69.479
- epoch: 1.0
- step: 12271
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
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