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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: chentong00/propositionizer-wiki-flan-t5-large |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: qsaf_propositional_v2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# qsaf_propositional_v2 |
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This model is a fine-tuned version of [chentong00/propositionizer-wiki-flan-t5-large](https://huggingface.co/chentong00/propositionizer-wiki-flan-t5-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4817 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.5067 | 0.8889 | 500 | 0.3992 | |
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| 0.442 | 1.7778 | 1000 | 0.3875 | |
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| 0.4012 | 2.6667 | 1500 | 0.3929 | |
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| 0.3767 | 3.5556 | 2000 | 0.4012 | |
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| 0.3447 | 4.4444 | 2500 | 0.4054 | |
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| 0.3244 | 5.3333 | 3000 | 0.4262 | |
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| 0.3223 | 6.2222 | 3500 | 0.4382 | |
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| 0.3014 | 7.1111 | 4000 | 0.4630 | |
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| 0.2909 | 8.0 | 4500 | 0.4668 | |
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| 0.2861 | 8.8889 | 5000 | 0.4755 | |
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| 0.2903 | 9.7778 | 5500 | 0.4817 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.4 |
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