---
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: trainer_wheel_2.0
  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. -->

# trainer_wheel_2.0

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2068
- Refined F1: 12.9129
- Meteor: 19.9212
- Bert Score F1: 83.2043
- Rouge1: 22.3927
- Rouge2: 8.2360
- Rougel: 18.2793

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.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: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Refined F1 | Meteor  | Bert Score F1 | Rouge1  | Rouge2 | Rougel  |
|:-------------:|:------:|:----:|:---------------:|:----------:|:-------:|:-------------:|:-------:|:------:|:-------:|
| 2.4429        | 1.0    | 2797 | 2.2296          | 12.5911    | 19.2809 | 82.8943       | 21.4421 | 7.7851 | 17.6693 |
| 2.3284        | 1.9995 | 5592 | 2.2068          | 12.9129    | 19.9212 | 83.2043       | 22.3927 | 8.2360 | 18.2793 |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.1
- Tokenizers 0.21.0