Edit model card

results

This model is a fine-tuned version of malmarjeh/t5-arabic-text-summarization on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0104
  • Rouge1: 0.1382
  • Rouge2: 0.0187
  • Rougel: 0.1382
  • Rougelsum: 0.1382
  • Gen Len: 18.9404

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: 0.0005
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.0338 0.23 500 0.0175 0.1514 0.0297 0.1511 0.1518 18.9188
0.0566 0.46 1000 0.0161 0.1565 0.0388 0.157 0.1573 18.9188
0.0418 0.7 1500 0.0125 0.1372 0.0199 0.1375 0.1379 18.8105
0.0333 0.93 2000 0.0116 0.1443 0.0253 0.1448 0.1448 18.8051
0.0287 1.16 2500 0.0110 0.144 0.0192 0.1442 0.1442 19.0
0.0247 1.39 3000 0.0096 0.1511 0.024 0.1517 0.1518 19.0
0.0219 1.62 3500 0.0087 0.1463 0.0241 0.1462 0.1462 18.9747
0.021 1.86 4000 0.0104 0.1382 0.0187 0.1382 0.1382 18.9404

Framework versions

  • Transformers 4.39.0.dev0
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2
Downloads last month
3
Safetensors
Model size
283M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for hiba2/results

Finetuned
(3)
this model