---
license: apache-2.0
base_model: google/long-t5-tglobal-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: Word-selector
  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. -->

# Word-selector

This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0659
- Rouge1: 0.3077
- Rouge2: 0.0523
- Rougel: 0.2373
- Rougelsum: 0.2375
- Gen Len: 50.2144

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.7905        | 1.0   | 800  | 2.2300          | 0.1838 | 0.0234 | 0.1522 | 0.1525    | 58.5994 |
| 2.3488        | 2.0   | 1600 | 2.1395          | 0.2251 | 0.0339 | 0.1816 | 0.182     | 61.4869 |
| 2.2336        | 3.0   | 2400 | 2.1009          | 0.2553 | 0.0406 | 0.2052 | 0.2053    | 56.9838 |
| 2.1005        | 4.0   | 3200 | 2.0684          | 0.2777 | 0.0452 | 0.2161 | 0.2163    | 54.5738 |
| 2.0007        | 5.0   | 4000 | 2.0559          | 0.2907 | 0.0463 | 0.2247 | 0.2248    | 54.0806 |
| 1.9248        | 6.0   | 4800 | 2.0623          | 0.2981 | 0.0475 | 0.2306 | 0.2308    | 50.3856 |
| 1.8686        | 7.0   | 5600 | 2.0513          | 0.3013 | 0.0508 | 0.2326 | 0.2327    | 53.965  |
| 1.831         | 8.0   | 6400 | 2.0531          | 0.3083 | 0.0517 | 0.2355 | 0.2357    | 51.4162 |
| 1.7752        | 9.0   | 7200 | 2.0623          | 0.3022 | 0.0514 | 0.2326 | 0.2329    | 51.6419 |
| 1.7515        | 10.0  | 8000 | 2.0659          | 0.3077 | 0.0523 | 0.2373 | 0.2375    | 50.2144 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.1+cu121
- Datasets 3.0.1
- Tokenizers 0.15.1