---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small_rouge_finetuned_sbic
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-small_rouge_finetuned_sbic

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0640
- Rouge1: 77.8685
- Rouge2: 74.5217
- Rougel: 77.8247
- Rougelsum: 77.8156
- Gen Len: 19.0

## 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: 5e-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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.0809        | 0.5   | 1000 | 0.0727          | 76.9035 | 72.8715 | 76.8453 | 76.84     | 19.0    |
| 0.0745        | 1.01  | 2000 | 0.0685          | 77.4372 | 73.7627 | 77.4008 | 77.3853   | 19.0    |
| 0.0739        | 1.51  | 3000 | 0.0659          | 77.8732 | 74.4368 | 77.8305 | 77.8222   | 19.0    |
| 0.0725        | 2.01  | 4000 | 0.0647          | 77.8991 | 74.4654 | 77.8536 | 77.8484   | 19.0    |
| 0.0696        | 2.51  | 5000 | 0.0640          | 77.8685 | 74.5217 | 77.8247 | 77.8156   | 19.0    |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1