---
license: cc-by-4.0
base_model: allegro/plt5-base
tags:
- generated_from_trainer
model-index:
- name: plt5-base-finetuned-onet
  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. -->

# plt5-base-finetuned-onet

This model is a fine-tuned version of [allegro/plt5-base](https://huggingface.co/allegro/plt5-base) on the None dataset.

## 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: 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: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | P       | R       | F1     | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:------:|:-------:|
| No log        | 1.0   | 250  | nan             | 62.1748 | 60.3819 | 61.226 | 18.44   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0