qsaf_propositional_v2
This model is a fine-tuned version of chentong00/propositionizer-wiki-flan-t5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4817
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5067 | 0.8889 | 500 | 0.3992 |
| 0.442 | 1.7778 | 1000 | 0.3875 |
| 0.4012 | 2.6667 | 1500 | 0.3929 |
| 0.3767 | 3.5556 | 2000 | 0.4012 |
| 0.3447 | 4.4444 | 2500 | 0.4054 |
| 0.3244 | 5.3333 | 3000 | 0.4262 |
| 0.3223 | 6.2222 | 3500 | 0.4382 |
| 0.3014 | 7.1111 | 4000 | 0.4630 |
| 0.2909 | 8.0 | 4500 | 0.4668 |
| 0.2861 | 8.8889 | 5000 | 0.4755 |
| 0.2903 | 9.7778 | 5500 | 0.4817 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.4
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