metadata
license: apache-2.0
base_model: moussaKam/AraBART
tags:
- generated_from_trainer
model-index:
- name: AraBART-finetuned-xlsum
results: []
AraBART-finetuned-xlsum
This model is a fine-tuned version of moussaKam/AraBART on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.0904
- eval_rouge1: 0.1176
- eval_rouge2: 0.0
- eval_rougeL: 0.1176
- eval_rougeLsum: 0.1176
- eval_runtime: 1.2306
- eval_samples_per_second: 13.815
- eval_steps_per_second: 2.438
- epoch: 3.7473
- step: 697
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: 5.6e-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
- num_epochs: 8
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Tokenizers 0.19.1