---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-hblastKP
  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-hblastKP

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: 1.0138
- Rouge1: 56.1916
- Rouge2: 46.6889
- Rougel: 56.0783
- Rougelsum: 56.1408
- Gen Len: 6.6737

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.2249        | 1.0   | 6222  | 1.0369          | 56.5144 | 47.7112 | 56.4169 | 56.5046   | 7.3609  |
| 1.027         | 2.0   | 12444 | 1.0361          | 55.904  | 46.7622 | 55.7977 | 55.9268   | 6.9696  |
| 0.9344        | 3.0   | 18666 | 1.0188          | 58.2277 | 49.2274 | 58.112  | 58.1932   | 7.1203  |
| 0.8994        | 4.0   | 24888 | 1.0171          | 57.8553 | 48.3674 | 57.7255 | 57.8761   | 6.7841  |
| 0.8559        | 5.0   | 31110 | 1.0138          | 56.1916 | 46.6889 | 56.0783 | 56.1408   | 6.6737  |
| 0.7633        | 6.0   | 37332 | 1.0178          | 58.1465 | 48.3511 | 57.9589 | 58.0973   | 6.8882  |
| 0.7444        | 7.0   | 43554 | 1.0221          | 58.295  | 48.8287 | 58.1788 | 58.2618   | 6.8316  |
| 0.7256        | 8.0   | 49776 | 1.0322          | 58.1448 | 48.5088 | 58.0255 | 58.1326   | 6.9370  |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2