metadata

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

t5-base-tag-generation

This model is a fine-tuned version of 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