metadata
base_model: UBC-NLP/AraT5v2-base-1024
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: araT5-Base
results: []
araT5-Base
This model is a fine-tuned version of UBC-NLP/AraT5v2-base-1024 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3080
- Bleu: 19.9507
- Rouge: 0.6204
- Gen Len: 14.3392
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: 0.0002
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge | Gen Len |
|---|---|---|---|---|---|---|
| 2.7135 | 1.0 | 7500 | 1.6843 | 15.9171 | 0.5533 | 14.33 |
| 1.6024 | 2.0 | 15000 | 1.4055 | 18.3573 | 0.5965 | 14.27 |
| 1.1542 | 3.0 | 22500 | 1.3082 | 19.3343 | 0.6112 | 14.3792 |
| 0.8608 | 4.0 | 30000 | 1.3080 | 19.9507 | 0.6204 | 14.3392 |
| 0.6687 | 5.0 | 37500 | 1.3430 | 20.2683 | 0.6234 | 14.3436 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1