---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-replycomments-finetuned-xsum
  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. -->

# t5-small-replycomments-finetuned-xsum

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: 4.0092
- Rouge1: 4.2177
- Rouge2: 0.0
- Rougel: 4.1508
- Rougelsum: 3.9608
- Gen Len: 18.2222

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 7    | 5.5935          | 5.4081 | 1.8349 | 5.3241 | 5.0949    | 16.3333 |
| No log        | 2.0   | 14   | 4.3785          | 6.0943 | 1.8349 | 5.7682 | 5.7452    | 18.2222 |
| No log        | 3.0   | 21   | 4.1468          | 4.2177 | 0.0    | 4.1508 | 3.9608    | 18.2222 |
| No log        | 4.0   | 28   | 4.0462          | 4.2177 | 0.0    | 4.1508 | 3.9608    | 18.2222 |
| No log        | 5.0   | 35   | 4.0092          | 4.2177 | 0.0    | 4.1508 | 3.9608    | 18.2222 |


### Framework versions

- Transformers 4.30.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3