dialogue-summary-training_last
This model is a fine-tuned version of moussaKam/AraBART on an unknown dataset.
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 50
Training results
Framework versions
- Transformers 4.45.2
- Pytorch 2.1.1+cpu
- Datasets 2.19.2
- Tokenizers 0.20.1
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Model tree for alalfi/dialogue-summary-training_last
Base model
moussaKam/AraBART