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--- |
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license: apache-2.0 |
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base_model: google/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: FLAN-T5-QASPER-NLP-Paper-to-Question-Generation-answer-input |
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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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# FLAN-T5-QASPER-NLP-Paper-to-Question-Generation-answer-input |
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This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/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: 0.0746 |
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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: 0.0001 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 184 |
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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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| No log | 0.99 | 46 | 39.0024 | |
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| 33.7249 | 1.99 | 92 | 18.8406 | |
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| 33.7249 | 2.98 | 138 | 5.0432 | |
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| 8.9783 | 3.97 | 184 | 0.1579 | |
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| 8.9783 | 4.97 | 230 | 0.0941 | |
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| 0.1833 | 5.96 | 276 | 0.0810 | |
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| 0.1833 | 6.95 | 322 | 0.0756 | |
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| 0.1047 | 7.95 | 368 | 0.0746 | |
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| 0.1047 | 8.94 | 414 | 0.0746 | |
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| 0.0995 | 9.93 | 460 | 0.0746 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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