---
license: apache-2.0
base_model: google/flan-t5-large
tags:
- generated_from_trainer
model-index:
- name: flan-t5-large-joint-dg
  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-large-joint-dg

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1777

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.3443        | 0.37  | 2000  | 1.2275          |
| 1.3148        | 0.73  | 4000  | 1.2038          |
| 1.2259        | 1.1   | 6000  | 1.1960          |
| 1.2271        | 1.46  | 8000  | 1.1903          |
| 1.2224        | 1.83  | 10000 | 1.1795          |
| 1.166         | 2.19  | 12000 | 1.1835          |
| 1.1599        | 2.56  | 14000 | 1.1792          |
| 1.1644        | 2.92  | 16000 | 1.1776          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.4.0
- Tokenizers 0.15.0