metadata

license: apache-2.0
base_model: google/mt5-base
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: mt5-base-finetuned-summarization-Arabic
    results: []

mt5-base-finetuned-summarization-Arabic

This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.0374
Rouge1: 6.357
Rouge2: 0.7702
Rougel: 6.3922
Rougelsum: 6.3308
Gen Len: 17.5465

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: 10
eval_batch_size: 10
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
3.0273	1.0	1473	2.1479	5.9189	0.5705	5.87	5.87	16.6932
2.6605	2.0	2946	2.0578	6.6512	0.7539	6.6757	6.6754	17.5501
2.5505	3.0	4419	2.0374	6.357	0.7702	6.3922	6.3308	17.5465

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2