---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-small-finetuned-text2log-finetuned-nl-to-fol-finetuned-nl-to-fol-finetuned-nl-to-fol
  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-finetuned-text2log-finetuned-nl-to-fol-finetuned-nl-to-fol-finetuned-nl-to-fol

This model is a fine-tuned version of [anki08/t5-small-finetuned-text2log-finetuned-nl-to-fol-finetuned-nl-to-fol](https://huggingface.co/anki08/t5-small-finetuned-text2log-finetuned-nl-to-fol-finetuned-nl-to-fol) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1468
- Bleu: 30.3266
- Gen Len: 18.8824

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 17   | 0.1486          | 30.3537 | 18.8824 |
| No log        | 2.0   | 34   | 0.1474          | 30.2522 | 18.8824 |
| No log        | 3.0   | 51   | 0.1465          | 30.2522 | 18.8824 |
| No log        | 4.0   | 68   | 0.1461          | 30.2522 | 18.8824 |
| No log        | 5.0   | 85   | 0.1469          | 30.2522 | 18.8824 |
| No log        | 6.0   | 102  | 0.1457          | 29.8889 | 18.8824 |
| No log        | 7.0   | 119  | 0.1470          | 30.3537 | 18.8824 |
| No log        | 8.0   | 136  | 0.1469          | 30.3537 | 18.8824 |
| No log        | 9.0   | 153  | 0.1469          | 30.3266 | 18.8824 |
| No log        | 10.0  | 170  | 0.1468          | 30.3266 | 18.8824 |


### Framework versions

- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1