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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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model-index:
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- name: t5-base-end2end-questions-generation_eli_squad_single_exp_imp
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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-base-end2end-questions-generation_eli_squad_single_exp_imp
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3209
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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: 32
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- total_train_batch_size: 128
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.3631 | 0.25 | 100 | 2.4532 |
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| 2.1765 | 0.49 | 200 | 2.4057 |
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| 2.1516 | 0.74 | 300 | 2.3775 |
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| 2.1037 | 0.98 | 400 | 2.3595 |
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| 2.0402 | 1.23 | 500 | 2.3486 |
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| 2.0185 | 1.47 | 600 | 2.3384 |
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| 2.0031 | 1.72 | 700 | 2.3350 |
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| 2.0344 | 1.96 | 800 | 2.3275 |
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| 1.9459 | 2.21 | 900 | 2.3262 |
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| 1.9789 | 2.46 | 1000 | 2.3235 |
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| 1.9784 | 2.7 | 1100 | 2.3210 |
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| 1.9592 | 2.95 | 1200 | 2.3209 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.0.1+cu118
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- Tokenizers 0.13.3
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