transformers safetensors t5 text2text-generation generated_from_trainer base_model:Gayathri142214002/Question_Generation_ComQ_7 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: Gayathri142214002/Question_Generation_ComQ_7
tags:
- generated_from_trainer
model-index:
- name: Question_Generation_ComQ_8_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_8_2

This model is a fine-tuned version of [Gayathri142214002/Question_Generation_ComQ_7](https://huggingface.co/Gayathri142214002/Question_Generation_ComQ_7) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3219

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0484        | 0.22  | 100  | 0.3026          |
| 0.0462        | 0.44  | 200  | 0.3217          |
| 0.2787        | 0.66  | 300  | 0.2620          |
| 0.2864        | 0.88  | 400  | 0.2611          |
| 0.2528        | 1.1   | 500  | 0.2699          |
| 0.2224        | 1.32  | 600  | 0.2878          |
| 0.2303        | 1.54  | 700  | 0.2812          |
| 0.2525        | 1.76  | 800  | 0.2783          |
| 0.2429        | 1.98  | 900  | 0.2685          |
| 0.2147        | 2.2   | 1000 | 0.2849          |
| 0.202         | 2.42  | 1100 | 0.2939          |
| 0.2217        | 2.64  | 1200 | 0.2913          |
| 0.2213        | 2.86  | 1300 | 0.2834          |
| 0.1942        | 3.08  | 1400 | 0.2952          |
| 0.1866        | 3.3   | 1500 | 0.3072          |
| 0.1977        | 3.52  | 1600 | 0.3098          |
| 0.199         | 3.74  | 1700 | 0.3053          |
| 0.1964        | 3.96  | 1800 | 0.3017          |
| 0.1672        | 4.18  | 1900 | 0.3125          |
| 0.1669        | 4.4   | 2000 | 0.3182          |
| 0.1904        | 4.62  | 2100 | 0.3193          |
| 0.1744        | 4.84  | 2200 | 0.3132          |
| 0.177         | 5.06  | 2300 | 0.3130          |
| 0.1583        | 5.28  | 2400 | 0.3172          |
| 0.1676        | 5.5   | 2500 | 0.3168          |
| 0.1662        | 5.72  | 2600 | 0.3185          |
| 0.1703        | 5.94  | 2700 | 0.3164          |
| 0.1553        | 6.16  | 2800 | 0.3193          |
| 0.1557        | 6.38  | 2900 | 0.3201          |
| 0.1465        | 6.6   | 3000 | 0.3208          |
| 0.1549        | 6.82  | 3100 | 0.3219          |


### Framework versions

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