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---
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license: apache-2.0
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base_model: t5-small
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tags:
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- generated_from_trainer
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model-index:
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- name: t5-small-end2end-questions-generation_eli_squad_aug_exp__
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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-small-end2end-questions-generation_eli_squad_aug_exp__
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.5242
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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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| 3.8266 | 0.25 | 100 | 2.9131 |
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| 2.9641 | 0.51 | 200 | 2.7933 |
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| 2.8628 | 0.76 | 300 | 2.7168 |
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| 2.8042 | 1.01 | 400 | 2.6537 |
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| 2.7292 | 1.27 | 500 | 2.6111 |
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| 2.6952 | 1.52 | 600 | 2.5807 |
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| 2.6677 | 1.77 | 700 | 2.5603 |
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| 2.6553 | 2.03 | 800 | 2.5481 |
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| 2.6339 | 2.28 | 900 | 2.5348 |
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| 2.6246 | 2.53 | 1000 | 2.5286 |
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| 2.6205 | 2.78 | 1100 | 2.5242 |
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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 2.14.3
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- Tokenizers 0.13.3
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