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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-end2end-questions-generation-cvqualtrics-squad-V1
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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-end2end-questions-generation-cvqualtrics-squad-V1
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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: 1.4124
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.6178 | 0.34 | 100 | 1.8936 |
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| 2.0032 | 0.67 | 200 | 1.6910 |
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| 1.8748 | 1.01 | 300 | 1.6187 |
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| 1.7769 | 1.34 | 400 | 1.5605 |
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| 1.7404 | 1.68 | 500 | 1.5354 |
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| 1.736 | 2.01 | 600 | 1.5059 |
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| 1.6698 | 2.35 | 700 | 1.4904 |
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| 1.6625 | 2.68 | 800 | 1.4656 |
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| 1.6611 | 3.02 | 900 | 1.4487 |
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| 1.6124 | 3.36 | 1000 | 1.4398 |
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| 1.6133 | 3.69 | 1100 | 1.4278 |
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| 1.6182 | 4.03 | 1200 | 1.4234 |
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| 1.5836 | 4.36 | 1300 | 1.4161 |
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| 1.5861 | 4.7 | 1400 | 1.4124 |
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### Framework versions
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- Transformers 4.20.1
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- Pytorch 1.12.0+cu113
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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