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---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: results
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on question/answer pairs scraped from Quora.
It achieves the following results on the evaluation set:
- Loss: 2.9379
## Intended uses & limitations
Closed book question answering. Prefix the inputs with "answer the question: "
## Training and evaluation data
50,000 question/answer pairs scraped from Quora
## Training procedure
Seq2Seq training described here: https://huggingface.co/docs/evaluate/transformers_integrations
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.158 | 1.0 | 5641 | 2.9785 |
| 3.0283 | 2.0 | 11282 | 2.9379 |
### Framework versions
- Transformers 4.32.0
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3
|