metadata
library_name: transformers
license: apache-2.0
base_model: muchad/idt5-base
tags:
- generated_from_trainer
metrics:
- rouge
- bleu
model-index:
- name: idt5-base-qaqg_v3
results: []
idt5-base-qaqg_v3
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: 1.2682
- Rouge1: 0.4226
- Rouge2: 0.2332
- Rougel: 0.3923
- Rougelsum: 0.3933
- Bleu: 0.1876
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu |
|---|---|---|---|---|---|---|---|---|
| 1.381 | 1.0 | 4695 | 1.4000 | 0.3908 | 0.2059 | 0.3639 | 0.3646 | 0.1639 |
| 1.2256 | 2.0 | 9390 | 1.3096 | 0.4033 | 0.2145 | 0.3754 | 0.3762 | 0.1712 |
| 1.1113 | 3.0 | 14085 | 1.2807 | 0.4156 | 0.2262 | 0.3859 | 0.3867 | 0.1808 |
| 1.0142 | 4.0 | 18780 | 1.2694 | 0.4198 | 0.2301 | 0.3895 | 0.3906 | 0.1864 |
| 0.9693 | 5.0 | 23475 | 1.2682 | 0.4226 | 0.2332 | 0.3923 | 0.3933 | 0.1876 |
Framework versions
- Transformers 4.46.0
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 3.0.2
- Tokenizers 0.20.1