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

# normal_en_to_poe_translator

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0203
- Bleu: 17.4122
- Gen Len: 16.9451

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.3708        | 1.0   | 1182  | 1.2112          | 16.0712 | 16.9251 |
| 1.2776        | 2.0   | 2364  | 1.1458          | 16.5284 | 16.9233 |
| 1.2014        | 3.0   | 3546  | 1.1060          | 16.7928 | 16.9259 |
| 1.1637        | 4.0   | 4728  | 1.0783          | 16.9978 | 16.9317 |
| 1.1436        | 5.0   | 5910  | 1.0587          | 17.131  | 16.936  |
| 1.109         | 6.0   | 7092  | 1.0427          | 17.2265 | 16.9386 |
| 1.0912        | 7.0   | 8274  | 1.0324          | 17.2943 | 16.938  |
| 1.0751        | 8.0   | 9456  | 1.0257          | 17.3605 | 16.9432 |
| 1.0642        | 9.0   | 10638 | 1.0216          | 17.395  | 16.9426 |
| 1.0567        | 10.0  | 11820 | 1.0203          | 17.4122 | 16.9451 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3