---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-base-tag-generation
  results: []
widget:
- text: "Python is a high-level, interpreted, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically-typed and garbage-collected."
  example_title: "Programming"
---

<!-- 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-base-tag-generation

This model is a fine-tuned version of [fabiochiu/t5-base-tag-generation](https://huggingface.co/fabiochiu/t5-base-tag-generation) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.8474
- eval_rouge1: 38.6033
- eval_rouge2: 20.5952
- eval_rougeL: 36.4458
- eval_rougeLsum: 36.3202
- eval_gen_len: 15.257
- eval_runtime: 343.6547
- eval_samples_per_second: 2.91
- eval_steps_per_second: 0.364
- epoch: 0.31
- step: 2000

## 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: 4e-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: 1
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1