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i have some medical questions and answer dataset and i want to train it by your model. please guide me how to do that...
ghost updated
5 years ago
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## Keyword: text generation
### Diffusion Models in NLP: A Survey
- **Authors:** Yuansong Zhu, Yu Zhao
- **Subjects:** Computation and Language (cs.CL); Artificial Intelligence (cs.AI)
- **Arxiv li…
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e.g., make sure punctuation is used sensibly, and that there are no weird prefixes or other features that may cause artefacts when comparing model- & human-generated text. Done for `dailydialog` alrea…
rbroc updated
7 months ago
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Notes mostly for documentation purposes!
The new prompts have been selected and I'm in the midst of generating data across models and temperatures (currently 1, 1.5 and 2). See below for notes on t…
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- Create a few different prompt options (2 to 5) for each task
- Qualitatively inspect how models behave with each of these
- Run generation at scale with all prompt options
- Run text through text…
rbroc updated
7 months ago
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Hi,
DailyDialog is mentioned as a data source for DialogSum. Based on http://yanran.li/dailydialog, DailyDialog is [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/). And author …
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The example from https://github.com/microsoft/DeepSpeed-MII/blob/main/README.md:
```
import mii
mii_configs = {"tensor_parallel": 1, "dtype": "fp16"}
mii.deploy(task="text-generation",
…
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In order to complete the prototypes for OLID and DailyDialog, we need to implement adaptations for the operations `similar` and `rationalize`.
## OLID
- [x] similar
- [x] rationalize
## DailyD…
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[Model directory](https://github.com/nfelnlp/InterroLang/tree/main/parsing/t5/models)
## Datasets
- [x] BoolQ (Acc: 95 %)
- [x] DailyDialog (Acc: 96 %)
- [x] OLID (Acc: 93 %)
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Hi, I want to use this metric in my project.
I'm looking for a program interface like BLEU or ROUGE in package [evaluate](https://github.com/huggingface/evaluate)
**For example**:
```python
# ht…