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update model card README.md
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- squad_modified_for_t5_qg
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model-index:
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- name: t5-SQUAD-questions-generation
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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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# t5-SQUAD-questions-generation
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the squad_modified_for_t5_qg dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1821
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 64
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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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- num_epochs: 7
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.5884 | 0.34 | 100 | 1.3048 |
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| 1.4036 | 0.68 | 200 | 1.2631 |
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| 1.3571 | 1.02 | 300 | 1.2312 |
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| 1.2925 | 1.35 | 400 | 1.2368 |
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| 1.281 | 1.69 | 500 | 1.2234 |
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| 1.2693 | 2.03 | 600 | 1.2160 |
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| 1.2247 | 2.37 | 700 | 1.2100 |
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| 1.2227 | 2.71 | 800 | 1.2061 |
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| 1.2144 | 3.05 | 900 | 1.2044 |
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| 1.179 | 3.39 | 1000 | 1.1966 |
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| 1.1808 | 3.73 | 1100 | 1.1842 |
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| 1.1706 | 4.06 | 1200 | 1.1790 |
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| 1.1561 | 4.4 | 1300 | 1.1874 |
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| 1.1486 | 4.74 | 1400 | 1.1807 |
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| 1.1441 | 5.08 | 1500 | 1.1925 |
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| 1.1278 | 5.42 | 1600 | 1.1871 |
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| 1.1221 | 5.76 | 1700 | 1.1879 |
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| 1.128 | 6.1 | 1800 | 1.1819 |
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| 1.1105 | 6.44 | 1900 | 1.1840 |
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| 1.1107 | 6.77 | 2000 | 1.1821 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.0
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- Datasets 2.12.0
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- Tokenizers 0.11.0
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