---
license: apache-2.0
base_model: RohanHBTU/flan-t5-base-finetuned-frnet-325ct
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: flan-t5-base-finetuned-frnet-325ct-finetuned-frnet-325ct-3e-3
  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. -->

# flan-t5-base-finetuned-frnet-325ct-finetuned-frnet-325ct-3e-3

This model is a fine-tuned version of [RohanHBTU/flan-t5-base-finetuned-frnet-325ct](https://huggingface.co/RohanHBTU/flan-t5-base-finetuned-frnet-325ct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5314
- Bleu: 40.4089
- Gen Len: 91.1374

## 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: 4e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.619         | 1.0   | 8918  | 0.5858          | 37.3797 | 95.924  |
| 0.6844        | 2.0   | 17836 | 0.5445          | 39.9036 | 91.5354 |
| 0.624         | 3.0   | 26754 | 0.5314          | 40.4089 | 91.1374 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1