---
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: flan-t5-meteor-squad-qg-120b
  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-meteor-squad-qg-120b

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 19.6744
- Meteor: 0.0944

## 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: 24
- eval_batch_size: 24
- seed: 42
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Meteor |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 30.7207       | 1.0   | 5    | 29.3771         | 0.1062 |
| 24.7598       | 2.0   | 10   | 25.1263         | 0.0280 |
| 21.0225       | 3.0   | 15   | 22.3599         | 0.0275 |
| 19.5994       | 4.0   | 20   | 20.4633         | 0.0304 |
| 18.8669       | 5.0   | 25   | 19.6744         | 0.0944 |


### Framework versions

- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0