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
  results: []
---

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# Question_Generation_ComQ_onT5base

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: 0.4638

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.7508        | 0.32  | 1000  | 0.5682          |
| 0.6081        | 0.64  | 2000  | 0.5212          |
| 0.5745        | 0.96  | 3000  | 0.4933          |
| 0.4907        | 1.27  | 4000  | 0.4872          |
| 0.4859        | 1.59  | 5000  | 0.4697          |
| 0.4786        | 1.91  | 6000  | 0.4630          |
| 0.4288        | 2.23  | 7000  | 0.4782          |
| 0.4264        | 2.55  | 8000  | 0.4671          |
| 0.4272        | 2.87  | 9000  | 0.4586          |
| 0.3975        | 3.19  | 10000 | 0.4642          |
| 0.3787        | 3.5   | 11000 | 0.4645          |
| 0.3937        | 3.82  | 12000 | 0.4534          |
| 0.3672        | 4.14  | 13000 | 0.4640          |
| 0.3529        | 4.46  | 14000 | 0.4628          |
| 0.3564        | 4.78  | 15000 | 0.4570          |
| 0.3509        | 5.1   | 16000 | 0.4618          |
| 0.3236        | 5.42  | 17000 | 0.4635          |
| 0.3324        | 5.73  | 18000 | 0.4592          |
| 0.3289        | 6.05  | 19000 | 0.4572          |
| 0.3094        | 6.37  | 20000 | 0.4637          |
| 0.3098        | 6.69  | 21000 | 0.4638          |


### Framework versions

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