metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: UrduSum5k_multi2
results: []
UrduSum5k_multi2
This model is a fine-tuned version of ahmed0189/mT5-Arabic-text-summarization on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2260
- Rouge1: 0.14
- Rouge2: 0.0333
- Rougel: 0.14
- Rougelsum: 0.14
- Gen Len: 34.6705
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 3.8803 | 1.0 | 1500 | 3.2260 | 0.14 | 0.0333 | 0.14 | 0.14 | 34.6705 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.13.3