metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-base-tag-generation
results: []
t5-base-tag-generation
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.2167
- eval_rouge1: 28.107
- eval_rouge2: 12.2623
- eval_rougeL: 26.4896
- eval_rougeLsum: 26.5758
- eval_gen_len: 16.21
- eval_runtime: 326.2646
- eval_samples_per_second: 3.065
- eval_steps_per_second: 0.383
- epoch: 0.23
- step: 1500
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 2.2.1
- Tokenizers 0.12.1