---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- snli
metrics:
- rouge
model-index:
- name: t5-small-finetuned-contradiction
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: snli
      type: snli
      args: plain_text
    metrics:
    - name: Rouge1
      type: rouge
      value: 34.3503
---

<!-- 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-finetuned-contradiction

This model is a fine-tuned version of [domenicrosati/t5-small-finetuned-contradiction](https://huggingface.co/domenicrosati/t5-small-finetuned-contradiction) on the snli dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0662
- Rouge1: 34.3503
- Rouge2: 14.671
- Rougel: 32.5398
- Rougelsum: 32.5331

## 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: 5.6e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 2.0071        | 1.0   | 2863  | 2.1018          | 34.4519 | 14.6277 | 32.6441 | 32.6415   |
| 2.0704        | 2.0   | 5726  | 2.0897          | 34.4688 | 14.7508 | 32.6253 | 32.6227   |
| 2.0738        | 3.0   | 8589  | 2.0808          | 34.4291 | 14.5548 | 32.6263 | 32.6384   |
| 2.0788        | 4.0   | 11452 | 2.0744          | 34.6759 | 14.842  | 32.8169 | 32.823    |
| 2.0781        | 5.0   | 14315 | 2.0714          | 34.4961 | 14.7307 | 32.6362 | 32.6378   |
| 2.0687        | 6.0   | 17178 | 2.0674          | 34.6406 | 14.8359 | 32.8403 | 32.8423   |
| 2.0627        | 7.0   | 20041 | 2.0671          | 34.526  | 14.6943 | 32.6919 | 32.694    |
| 2.0585        | 8.0   | 22904 | 2.0662          | 34.4196 | 14.7107 | 32.607  | 32.6035   |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu102
- Datasets 2.1.0
- Tokenizers 0.12.1