---
base_model: RohanHBTU/flan-t5-base-finetuned-frnet-300ct-4e
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: flan-t5-base-finetuned-frnet-300ct-7e
  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-300ct-7e

This model is a fine-tuned version of [RohanHBTU/flan-t5-base-finetuned-frnet-300ct-4e](https://huggingface.co/RohanHBTU/flan-t5-base-finetuned-frnet-300ct-4e) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4854
- Bleu: 43.2024
- Gen Len: 87.8205

## 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: 2e-05
- train_batch_size: 2
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.5653        | 1.0   | 17548 | 0.5172          | 41.7992 | 89.1587 |
| 0.5663        | 2.0   | 35096 | 0.4939          | 42.9805 | 88.0114 |
| 0.5107        | 3.0   | 52644 | 0.4854          | 43.2024 | 87.8205 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1