idt5-base-qa-qg-baseline-TydiQA-id
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: 1.0940
- Rouge1: 0.3559
- Rouge2: 0.2127
- Rougel: 0.3539
- Rougelsum: 0.3542
- Bleu: 0.1685
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu |
|---|---|---|---|---|---|---|---|---|
| 1.6101 | 1.0 | 1141 | 1.0940 | 0.3559 | 0.2127 | 0.3539 | 0.3542 | 0.1685 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for hawalurahman/idt5-base-qa-qg-baseline-TydiQA-id
Base model
muchad/idt5-base