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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: t5-small-squad-qg-v2
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. -->
# t5-small-squad-qg-v2
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6608
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.6867 | 0.73 | 500 | 1.9647 |
| 2.0737 | 1.46 | 1000 | 1.8141 |
| 1.9364 | 2.19 | 1500 | 1.7515 |
| 1.8745 | 2.92 | 2000 | 1.7215 |
| 1.8282 | 3.65 | 2500 | 1.7042 |
| 1.803 | 4.38 | 3000 | 1.6913 |
| 1.7797 | 5.11 | 3500 | 1.6796 |
| 1.7592 | 5.84 | 4000 | 1.6749 |
| 1.7435 | 6.57 | 4500 | 1.6697 |
| 1.7427 | 7.3 | 5000 | 1.6667 |
| 1.7245 | 8.04 | 5500 | 1.6614 |
| 1.7211 | 8.77 | 6000 | 1.6621 |
| 1.7137 | 9.5 | 6500 | 1.6608 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.13.1
- Tokenizers 0.15.2
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