transformers safetensors t5 text2text-generation generated_from_trainer base_model:Gayathri142214002/Question_Generation_ComQ_4 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: Gayathri142214002/Question_Generation_ComQ_4
tags:
- generated_from_trainer
model-index:
- name: Question_Generation_ComQ_5_2
  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. -->

# Question_Generation_ComQ_5_2

This model is a fine-tuned version of [Gayathri142214002/Question_Generation_ComQ_4](https://huggingface.co/Gayathri142214002/Question_Generation_ComQ_4) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3698

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3089        | 0.28  | 100  | 0.2672          |
| 0.3228        | 0.56  | 200  | 0.2790          |
| 0.3151        | 0.84  | 300  | 0.2883          |
| 0.2723        | 1.12  | 400  | 0.2932          |
| 0.2577        | 1.39  | 500  | 0.3135          |
| 0.2693        | 1.67  | 600  | 0.3270          |
| 0.269         | 1.95  | 700  | 0.3046          |
| 0.2263        | 2.23  | 800  | 0.3335          |
| 0.2215        | 2.51  | 900  | 0.3325          |
| 0.2504        | 2.79  | 1000 | 0.3301          |
| 0.2184        | 3.07  | 1100 | 0.3324          |
| 0.1991        | 3.35  | 1200 | 0.3462          |
| 0.203         | 3.63  | 1300 | 0.3452          |
| 0.2156        | 3.91  | 1400 | 0.3416          |
| 0.1889        | 4.18  | 1500 | 0.3565          |
| 0.1783        | 4.46  | 1600 | 0.3590          |
| 0.196         | 4.74  | 1700 | 0.3569          |
| 0.1994        | 5.02  | 1800 | 0.3500          |
| 0.1593        | 5.3   | 1900 | 0.3588          |
| 0.1761        | 5.58  | 2000 | 0.3642          |
| 0.1729        | 5.86  | 2100 | 0.3651          |
| 0.1708        | 6.14  | 2200 | 0.3652          |
| 0.1661        | 6.42  | 2300 | 0.3670          |
| 0.1522        | 6.69  | 2400 | 0.3684          |
| 0.1484        | 6.97  | 2500 | 0.3698          |


### Framework versions

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