metadata
base_model: UBC-NLP/AraT5v2-base-1024
library_name: peft
metrics:
- bleu
- rouge
tags:
- generated_from_trainer
model-index:
- name: araT5-Base-with-LoRA
results: []
araT5-Base-with-LoRA
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: 2.1185
- Bleu: 12.5314
- Rouge: 0.5045
- Gen Len: 14.066
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 |
|---|---|---|---|---|---|---|
| 4.2656 | 1.0 | 7500 | 2.6346 | 9.6457 | 0.4263 | 14.0196 |
| 3.2885 | 2.0 | 15000 | 2.3718 | 10.7953 | 0.4683 | 14.1228 |
| 3.0225 | 3.0 | 22500 | 2.2546 | 11.4633 | 0.4853 | 14.0032 |
| 2.865 | 4.0 | 30000 | 2.1520 | 12.0114 | 0.4999 | 13.9988 |
| 2.747 | 5.0 | 37500 | 2.1185 | 12.5314 | 0.5045 | 14.066 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1