metadata
base_model: UBC-NLP/AraT5v2-base-1024
library_name: peft
metrics:
- bleu
- rouge
tags:
- generated_from_trainer
model-index:
- name: araT5-Base-with-DoRA
results: []
araT5-Base-with-DoRA
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: 2.0824
- Bleu: 13.0059
- Rouge: 0.5123
- Gen Len: 14.0744
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge | Gen Len |
|---|---|---|---|---|---|---|
| 4.2609 | 1.0 | 7500 | 2.6129 | 9.8191 | 0.4309 | 14.0316 |
| 3.2235 | 2.0 | 15000 | 2.3141 | 11.3505 | 0.4801 | 13.944 |
| 2.9623 | 3.0 | 22500 | 2.1885 | 12.2927 | 0.4951 | 14.0504 |
| 2.7918 | 4.0 | 30000 | 2.1044 | 12.7617 | 0.5053 | 14.0332 |
| 2.7009 | 5.0 | 37500 | 2.0824 | 13.0059 | 0.5123 | 14.0744 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1