---
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: test_sum_abs_t5_small_wasa_no_stops
  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. -->

# test_sum_abs_t5_small_wasa_no_stops

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1499
- Rouge1: 0.3402
- Rouge2: 0.2004
- Rougel: 0.315
- Rougelsum: 0.315
- Gen Len: 18.8435

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.5696        | 1.0   | 1764 | 2.2999          | 0.3394 | 0.2011 | 0.3133 | 0.3131    | 18.6902 |
| 2.4055        | 2.0   | 3528 | 2.2091          | 0.3432 | 0.202  | 0.3174 | 0.3171    | 18.8214 |
| 2.3447        | 3.0   | 5292 | 2.1597          | 0.3463 | 0.2048 | 0.3201 | 0.3199    | 18.8339 |
| 2.3436        | 4.0   | 7056 | 2.1499          | 0.3402 | 0.2004 | 0.315  | 0.315     | 18.8435 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2