---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
- bleu
model-index:
- name: Fine_Tuned_T5_small_for_DailyDialog
  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. -->

# Fine_Tuned_T5_small_for_DailyDialog

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: 0.5891
- Rouge1: 11.0459
- Rouge2: 2.2404
- Rougel: 10.5072
- Rougelsum: 10.7781
- Bleu: 0.8903
- Gen Len: 7.111

## 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
- lr_scheduler_warmup_steps: 10
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:------:|:-------:|
| 2.0809        | 1.0   | 313  | 1.7698          | 9.3634  | 1.6744 | 8.9437  | 9.0705    | 0.6728 | 8.217   |
| 1.4771        | 2.0   | 626  | 1.3016          | 10.1104 | 1.7728 | 9.6869  | 9.8809    | 0.0    | 6.527   |
| 1.2084        | 3.0   | 939  | 1.0781          | 10.3142 | 2.0722 | 9.8421  | 10.0426   | 0.7095 | 6.272   |
| 1.0171        | 4.0   | 1252 | 0.9219          | 10.299  | 2.107  | 9.8825  | 10.1102   | 0.7598 | 6.246   |
| 0.9029        | 5.0   | 1565 | 0.7993          | 10.5767 | 2.0701 | 10.0645 | 10.3152   | 0.88   | 6.94    |
| 0.7979        | 6.0   | 1878 | 0.7169          | 10.618  | 2.0406 | 10.0889 | 10.3652   | 0.9014 | 7.047   |
| 0.7266        | 7.0   | 2191 | 0.6627          | 10.8584 | 2.1613 | 10.292  | 10.575    | 0.8766 | 6.769   |
| 0.692         | 8.0   | 2504 | 0.6231          | 11.2891 | 2.2669 | 10.7278 | 11.0423   | 0.9933 | 7.273   |
| 0.6724        | 9.0   | 2817 | 0.5956          | 11.2029 | 2.2399 | 10.6659 | 10.9419   | 0.9988 | 7.512   |
| 0.65          | 10.0  | 3130 | 0.5891          | 11.0459 | 2.2404 | 10.5072 | 10.7781   | 0.8903 | 7.111   |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3