---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: Scientific-Paper-Summarization
  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. -->

# Scientific-Paper-Summarization

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7936
- Rouge1: 0.1499
- Rouge2: 0.0276
- Rougel: 0.1159
- Rougelsum: 0.1155
- Gen Len: 18.965

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 63   | 3.9012          | 0.1389 | 0.0232 | 0.1061 | 0.1058    | 19.0    |
| No log        | 2.0   | 126  | 3.8223          | 0.1479 | 0.0257 | 0.1149 | 0.1146    | 18.965  |
| No log        | 3.0   | 189  | 3.7987          | 0.1492 | 0.0274 | 0.1159 | 0.1155    | 18.965  |
| No log        | 4.0   | 252  | 3.7936          | 0.1499 | 0.0276 | 0.1159 | 0.1155    | 18.965  |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0