|
--- |
|
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 |
|
|
