Downloads · 30 days
41
5% of all-time downloads
electra_small_generator
junnyu/electra_small_generator
electra_small_generator is a fill-mask model from junnyu. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as mit.
- 数据集 openwebtext - 训练batchsize 256 - 学习率lr 5e-4 - 最大句子长度maxseqlen 128 - 训练total step 62.5W - GPU RTX3090 - 训练时间总共耗费2.5天
All-time downloads
854
Public
Repo size
91.3 MB
Likes
2
Public
Repo makeup
Click a slice to open those files.
.bin18.6 MB · 96%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- mit
- Model type
- electra
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Sep 22, 2021
- SHA
- b3e6c628
Try a prompt
Datasets
Model card
From the Hugging Face model README
一、 个人在openwebtext数据集上训练得到的electra-small模型
二、 复现结果(dev dataset)
| Model | CoLA | SST | MRPC | STS | QQP | MNLI | QNLI | RTE | Avg. |
|---|---|---|---|---|---|---|---|---|---|
| ELECTRA-Small-OWT(original) | 56.8 | 88.3 | 87.4 | 86.8 | 88.3 | 78.9 | 87.9 | 68.5 | 80.36 |
| ELECTRA-Small-OWT (this) | 55.82 | 89.67 | 87.0 | 86.96 | 89.28 | 80.08 | 87.50 | 66.07 | 80.30 |
三、 训练细节
- 数据集 openwebtext
- 训练batch_size 256
- 学习率lr 5e-4
- 最大句子长度max_seqlen 128
- 训练total step 62.5W
- GPU RTX3090
- 训练时间总共耗费2.5天
四、 使用
from transformers import pipeline
fill_mask = pipeline(
"fill-mask",
model="junnyu/electra_small_generator",
tokenizer="junnyu/electra_small_generator"
)
print(
fill_mask("HuggingFace is creating a [MASK] that the community uses to solve NLP tasks.")
)
- Task
- Fill-Mask
- Library
- transformers
- Type
- electra
- License
- mit
- Languages
- en
- Created
- Mar 2, 2022
- Updated
- Sep 22, 2021