---
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: ft5-bleu-durga-q1-clean
  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. -->

# ft5-bleu-durga-q1-clean

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2757
- Bleu: 0.1299

## 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: 0.0003
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.0328        | 1.0   | 3    | 2.0694          | 0.0089 |
| 1.8606        | 2.0   | 6    | 1.8619          | 0.0161 |
| 2.8564        | 3.0   | 9    | 1.6705          | 0.0171 |
| 1.4505        | 4.0   | 12   | 1.5098          | 0.0110 |
| 1.5253        | 5.0   | 15   | 1.3533          | 0.0157 |
| 1.9042        | 6.0   | 18   | 1.2238          | 0.0269 |
| 1.7751        | 7.0   | 21   | 1.1186          | 0.0307 |
| 1.1806        | 8.0   | 24   | 1.0301          | 0.0299 |
| 1.0575        | 9.0   | 27   | 0.9449          | 0.0399 |
| 0.9038        | 10.0  | 30   | 0.8609          | 0.0441 |
| 1.4179        | 11.0  | 33   | 0.7875          | 0.0409 |
| 1.435         | 12.0  | 36   | 0.7099          | 0.0473 |
| 0.6608        | 13.0  | 39   | 0.6601          | 0.0613 |
| 0.4501        | 14.0  | 42   | 0.6165          | 0.0661 |
| 0.5584        | 15.0  | 45   | 0.5831          | 0.0654 |
| 1.1468        | 16.0  | 48   | 0.5449          | 0.0765 |
| 0.5354        | 17.0  | 51   | 0.5032          | 0.0657 |
| 0.8386        | 18.0  | 54   | 0.4703          | 0.0599 |
| 0.7596        | 19.0  | 57   | 0.4393          | 0.0768 |
| 0.9838        | 20.0  | 60   | 0.4084          | 0.0894 |
| 1.0146        | 21.0  | 63   | 0.3784          | 0.0832 |
| 0.6939        | 22.0  | 66   | 0.3560          | 0.0947 |
| 0.7661        | 23.0  | 69   | 0.3385          | 0.0965 |
| 0.9235        | 24.0  | 72   | 0.3231          | 0.1130 |
| 0.5005        | 25.0  | 75   | 0.3099          | 0.1199 |
| 0.382         | 26.0  | 78   | 0.2982          | 0.1248 |
| 0.5445        | 27.0  | 81   | 0.2882          | 0.1305 |
| 0.5974        | 28.0  | 84   | 0.2816          | 0.1305 |
| 0.6571        | 29.0  | 87   | 0.2775          | 0.1299 |
| 0.5589        | 30.0  | 90   | 0.2757          | 0.1299 |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1