metadata
base_model: UBC-NLP/AraT5v2-base-1024
library_name: peft
metrics:
- bleu
- rouge
tags:
- generated_from_trainer
model-index:
- name: araT5-Base-with-IA3
results: []
araT5-Base-with-IA3
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: 3.5700
- Bleu: 5.2733
- Rouge: 0.2997
- Gen Len: 14.2112
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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge | Gen Len |
|---|---|---|---|---|---|---|
| 8.4777 | 1.0 | 7500 | 4.1503 | 3.0695 | 0.2361 | 14.3284 |
| 5.3262 | 2.0 | 15000 | 3.8670 | 4.0626 | 0.2757 | 14.1688 |
| 5.0341 | 3.0 | 22500 | 3.7264 | 4.5492 | 0.2893 | 14.1428 |
| 4.879 | 4.0 | 30000 | 3.6486 | 4.945 | 0.2955 | 14.224 |
| 4.7908 | 5.0 | 37500 | 3.6025 | 5.1278 | 0.298 | 14.2372 |
| 4.7425 | 6.0 | 45000 | 3.5780 | 5.2779 | 0.2995 | 14.2132 |
| 4.7198 | 7.0 | 52500 | 3.5700 | 5.2733 | 0.2997 | 14.2112 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1