---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: cluster_to_text_t5_base
  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. -->

# cluster_to_text_t5_base

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4653
- Bleu: 66.2251
- Gen Len: 9.2028

## 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: 6

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.542         | 1.0   | 3964  | 1.1583          | 26.2658 | 9.3137  |
| 1.0563        | 2.0   | 7928  | 0.7809          | 46.4766 | 9.1855  |
| 0.8165        | 3.0   | 11892 | 0.6044          | 57.0741 | 9.1809  |
| 0.7165        | 4.0   | 15856 | 0.5197          | 62.3771 | 9.2197  |
| 0.6568        | 5.0   | 19820 | 0.4784          | 65.331  | 9.1905  |
| 0.6231        | 6.0   | 23784 | 0.4653          | 66.2251 | 9.2028  |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3