---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flant-t5-small-function-calling-v2
  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. -->

# flant-t5-small-function-calling-v2

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Rouge1: 57.6757
- Rouge2: 50.7633
- Rougel: 57.677
- Rougelsum: 57.677
- Gen Len: 19.0

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:------:|:---------:|:-------:|
| 0.0004        | 1.0   | 6250  | 0.0000          | 57.6757 | 50.7633 | 57.677 | 57.677    | 19.0    |
| 0.0002        | 2.0   | 12500 | 0.0000          | 57.6757 | 50.7633 | 57.677 | 57.677    | 19.0    |
| 0.0001        | 3.0   | 18750 | 0.0000          | 57.6757 | 50.7633 | 57.677 | 57.677    | 19.0    |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1