metadata
base_model: muchad/idt5-base
library_name: peft
license: apache-2.0
metrics:
- rouge
- bleu
tags:
- generated_from_trainer
model-index:
- name: idt5-base-ae_adapter
results: []
idt5-base-ae_adapter
This model is a fine-tuned version of muchad/idt5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1132
- Rouge1: 0.3358
- Rouge2: 0.1831
- Rougel: 0.3088
- Rougelsum: 0.3109
- Bleu: 0.1408
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu |
|---|---|---|---|---|---|---|---|---|
| 1.35 | 1.0 | 3390 | 1.2546 | 0.2972 | 0.1424 | 0.2697 | 0.2722 | 0.1256 |
| 1.1749 | 2.0 | 6780 | 1.1832 | 0.3197 | 0.1655 | 0.2940 | 0.2961 | 0.1313 |
| 1.1447 | 3.0 | 10170 | 1.1313 | 0.3279 | 0.1742 | 0.3024 | 0.3043 | 0.1372 |
| 1.1106 | 4.0 | 13560 | 1.1294 | 0.3308 | 0.1790 | 0.3045 | 0.3065 | 0.1386 |
| 1.0842 | 5.0 | 16950 | 1.1132 | 0.3358 | 0.1831 | 0.3088 | 0.3109 | 0.1408 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0