transformers safetensors t5 text2text-generation generated_from_trainer base_model:t5-base license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
model-index:
- name: Question_Generation_ComQ_onT5base_withDataGen4
  results: []
---

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# Question_Generation_ComQ_onT5base_withDataGen4

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3923

## 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.7546        | 0.23  | 1000  | 0.5504          |
| 0.6013        | 0.47  | 2000  | 0.5134          |
| 0.557         | 0.7   | 3000  | 0.4834          |
| 0.5217        | 0.94  | 4000  | 0.4513          |
| 0.449         | 1.17  | 5000  | 0.4519          |
| 0.4441        | 1.41  | 6000  | 0.4389          |
| 0.439         | 1.64  | 7000  | 0.4322          |
| 0.4355        | 1.88  | 8000  | 0.4153          |
| 0.3996        | 2.11  | 9000  | 0.4263          |
| 0.388         | 2.35  | 10000 | 0.4183          |
| 0.3856        | 2.58  | 11000 | 0.4129          |
| 0.3782        | 2.82  | 12000 | 0.4101          |
| 0.3719        | 3.05  | 13000 | 0.4091          |
| 0.3395        | 3.29  | 14000 | 0.4091          |
| 0.3453        | 3.52  | 15000 | 0.4053          |
| 0.3538        | 3.76  | 16000 | 0.3933          |
| 0.3468        | 3.99  | 17000 | 0.3897          |
| 0.3128        | 4.22  | 18000 | 0.4035          |
| 0.3191        | 4.46  | 19000 | 0.4005          |
| 0.322         | 4.69  | 20000 | 0.3944          |
| 0.3204        | 4.93  | 21000 | 0.3881          |
| 0.302         | 5.16  | 22000 | 0.3951          |
| 0.2947        | 5.4   | 23000 | 0.3948          |
| 0.3011        | 5.63  | 24000 | 0.3932          |
| 0.303         | 5.87  | 25000 | 0.3873          |
| 0.2902        | 6.1   | 26000 | 0.3916          |
| 0.2777        | 6.34  | 27000 | 0.3940          |
| 0.2811        | 6.57  | 28000 | 0.3937          |
| 0.2815        | 6.81  | 29000 | 0.3923          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
