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README.md
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---
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license: apache-2.0
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base_model: t5-base
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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_squad_eli_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_squad_eli_exp_imp
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.2204
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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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| 2.3587 | 0.24 | 100 | 2.2995 |
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| 2.1713 | 0.48 | 200 | 2.2715 |
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| 2.1506 | 0.72 | 300 | 2.2446 |
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| 2.1138 | 0.96 | 400 | 2.2391 |
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| 2.0454 | 1.21 | 500 | 2.2350 |
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| 2.0286 | 1.45 | 600 | 2.2319 |
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| 2.0171 | 1.69 | 700 | 2.2214 |
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| 2.0041 | 1.93 | 800 | 2.2205 |
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| 1.9694 | 2.17 | 900 | 2.2208 |
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| 1.964 | 2.41 | 1000 | 2.2232 |
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| 1.9667 | 2.65 | 1100 | 2.2191 |
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| 1.9659 | 2.89 | 1200 | 2.2204 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.1
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- Tokenizers 0.13.3
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