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

# shadow

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2249
- Rouge1: 0.2638
- Rouge2: 0.1186
- Rougel: 0.2171
- Rougelsum: 0.2169
- Gen Len: 146.8555

## 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: 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:--------:|
| 2.6504        | 1.0   | 718  | 1.5109          | 0.0112 | 0.0026 | 0.0098 | 0.0098    | 13.3183  |
| 1.7193        | 2.0   | 1436 | 1.3836          | 0.1697 | 0.0487 | 0.1355 | 0.1354    | 140.8933 |
| 1.5492        | 3.0   | 2154 | 1.3174          | 0.202  | 0.0564 | 0.1591 | 0.1592    | 153.2811 |
| 1.51          | 4.0   | 2872 | 1.2829          | 0.2152 | 0.0691 | 0.1708 | 0.1709    | 156.3921 |
| 1.4341        | 5.0   | 3590 | 1.2613          | 0.2336 | 0.0895 | 0.1866 | 0.1866    | 156.2713 |
| 1.4335        | 6.0   | 4308 | 1.2466          | 0.2534 | 0.1118 | 0.2073 | 0.2075    | 146.7207 |
| 1.4033        | 7.0   | 5026 | 1.2363          | 0.2591 | 0.1168 | 0.213  | 0.213     | 144.5354 |
| 1.4045        | 8.0   | 5744 | 1.2298          | 0.261  | 0.1171 | 0.2149 | 0.2149    | 147.7884 |
| 1.3839        | 9.0   | 6462 | 1.2260          | 0.263  | 0.1178 | 0.216  | 0.2159    | 147.3518 |
| 1.3863        | 10.0  | 7180 | 1.2249          | 0.2638 | 0.1186 | 0.2171 | 0.2169    | 146.8555 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0