transformers safetensors t5 text2text-generation generated_from_trainer base_model:Gayathri142214002/Question_Generation_ComQ_6 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: Gayathri142214002/Question_Generation_ComQ_6
tags:
- generated_from_trainer
model-index:
- name: Question_Generation_ComQ_7_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_7_2

This model is a fine-tuned version of [Gayathri142214002/Question_Generation_ComQ_6](https://huggingface.co/Gayathri142214002/Question_Generation_ComQ_6) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3358

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2389        | 0.23  | 100  | 0.2383          |
| 0.2843        | 0.47  | 200  | 0.2704          |
| 0.2913        | 0.7   | 300  | 0.2648          |
| 0.2755        | 0.94  | 400  | 0.2607          |
| 0.2329        | 1.17  | 500  | 0.2916          |
| 0.2302        | 1.41  | 600  | 0.2971          |
| 0.2426        | 1.64  | 700  | 0.2861          |
| 0.2546        | 1.88  | 800  | 0.2906          |
| 0.2163        | 2.11  | 900  | 0.2995          |
| 0.211         | 2.35  | 1000 | 0.3133          |
| 0.2202        | 2.58  | 1100 | 0.3082          |
| 0.2352        | 2.82  | 1200 | 0.3039          |
| 0.2169        | 3.05  | 1300 | 0.2971          |
| 0.1932        | 3.29  | 1400 | 0.3126          |
| 0.2043        | 3.52  | 1500 | 0.3173          |
| 0.2066        | 3.76  | 1600 | 0.3100          |
| 0.2099        | 3.99  | 1700 | 0.3101          |
| 0.1672        | 4.23  | 1800 | 0.3226          |
| 0.1813        | 4.46  | 1900 | 0.3295          |
| 0.1823        | 4.7   | 2000 | 0.3280          |
| 0.1967        | 4.93  | 2100 | 0.3247          |
| 0.1725        | 5.17  | 2200 | 0.3330          |
| 0.1723        | 5.4   | 2300 | 0.3336          |
| 0.162         | 5.64  | 2400 | 0.3360          |
| 0.1716        | 5.87  | 2500 | 0.3337          |
| 0.1659        | 6.11  | 2600 | 0.3340          |
| 0.1553        | 6.34  | 2700 | 0.3355          |
| 0.1537        | 6.58  | 2800 | 0.3366          |
| 0.1589        | 6.81  | 2900 | 0.3358          |


### Framework versions

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