indot5-bloom-specialized-v1
This model is a fine-tuned version of hawalurahman/idt5-base-qaqg-v1.12-SQuAD-id on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4489
- Rouge1: 33.4027
- Rouge2: 19.5294
- Rougel: 32.5
- Bleu: 12.7072
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Bleu |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 132 | 3.2353 | 26.2435 | 15.488 | 25.9768 | 9.4916 |
| No log | 2.0 | 264 | 2.7823 | 28.8004 | 17.1102 | 28.0008 | 11.5872 |
| No log | 3.0 | 396 | 2.6094 | 28.2046 | 16.6753 | 27.6274 | 10.4683 |
| 8.5488 | 4.0 | 528 | 2.4982 | 32.3496 | 18.8877 | 31.4587 | 12.273 |
| 8.5488 | 5.0 | 660 | 2.4489 | 33.4027 | 19.5294 | 32.5 | 12.7072 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2
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Base model
muchad/idt5-base