metadata
license: mit
tags:
- seq_2_seq_lm
- generated_from_trainer
base_model: t5-small
datasets:
- broadfield-dev/qa3
model-index:
- name: t5-small-tuned-0204-2011
results: []
t5-small-tuned-0204-2011
This model is a fine-tuned version of t5-small on the broadfield-dev/qa3 dataset.
Training Details
- Task: SEQ_2_SEQ_LM
- Epochs: 10
- Learning Rate: 5e-05
- Gradient Accumulation Steps: 4
Entity Labels
['LABEL_0', 'LABEL_1']
Usage
from transformers import pipeline
summarizer = pipeline("summarization", model="broadfield-dev/t5-small-tuned-0204-2011")
text = "Your long text here..."
print(summarizer(text))