Commit
•
f5021bc
1
Parent(s):
92758fa
Update README.md
Browse files
README.md
CHANGED
|
@@ -22,15 +22,17 @@ We explore supervised multitask pre-training by proposing ***Instruction Pre-Tra
|
|
| 22 |
</p>
|
| 23 |
|
| 24 |
**************************** **Updates** ****************************
|
|
|
|
| 25 |
* 2024/7/15: We scaled up the pre-trained tokens from 100B to 250B, with the number of synthesized instruction-response pairs reaching 500M! Below, we show the performance trend on downstream tasks throughout the pre-training process:
|
| 26 |
-
<p align='
|
| 27 |
-
<img src="https://cdn-uploads.huggingface.co/production/uploads/66711d2ee12fa6cc5f5dfc89/0okCfRkC6uALTfuNxt0Fa.png" width="
|
| 28 |
</p>
|
| 29 |
* 2024/6/21: Released the [paper](https://huggingface.co/papers/2406.14491), [code](https://github.com/microsoft/LMOps), and [resources](https://huggingface.co/instruction-pretrain)
|
| 30 |
|
| 31 |
## Resources
|
| 32 |
-
**🤗 We share our data and models with example usages, feel free to open any
|
| 33 |
|
|
|
|
| 34 |
- Context-Based Instruction Synthesizer: [instruction-synthesizer](https://huggingface.co/instruction-pretrain/instruction-synthesizer)
|
| 35 |
- Fine-Tuning Data for the Synthesizer: [ft-instruction-synthesizer-collection](https://huggingface.co/datasets/instruction-pretrain/ft-instruction-synthesizer-collection)
|
| 36 |
- General Models Pre-Trained from Scratch (on 100B tokes):
|
|
@@ -110,7 +112,7 @@ Instruction Pre-Training
|
|
| 110 |
}
|
| 111 |
```
|
| 112 |
|
| 113 |
-
[
|
| 114 |
```bibtex
|
| 115 |
@inproceedings{
|
| 116 |
cheng2024adapting,
|
|
|
|
| 22 |
</p>
|
| 23 |
|
| 24 |
**************************** **Updates** ****************************
|
| 25 |
+
* 2024/7/31: Updated pre-training suggestions in the `Advanced Usage` section of [instruction-synthesizer](https://huggingface.co/instruction-pretrain/instruction-synthesizer)
|
| 26 |
* 2024/7/15: We scaled up the pre-trained tokens from 100B to 250B, with the number of synthesized instruction-response pairs reaching 500M! Below, we show the performance trend on downstream tasks throughout the pre-training process:
|
| 27 |
+
<p align='left'>
|
| 28 |
+
<img src="https://cdn-uploads.huggingface.co/production/uploads/66711d2ee12fa6cc5f5dfc89/0okCfRkC6uALTfuNxt0Fa.png" width="500">
|
| 29 |
</p>
|
| 30 |
* 2024/6/21: Released the [paper](https://huggingface.co/papers/2406.14491), [code](https://github.com/microsoft/LMOps), and [resources](https://huggingface.co/instruction-pretrain)
|
| 31 |
|
| 32 |
## Resources
|
| 33 |
+
**🤗 We share our data and models with example usages, feel free to open any discussions at [this page](https://huggingface.co/papers/2406.14491)! 🤗**
|
| 34 |
|
| 35 |
+
- Thanks to the demo [davanstrien/instruction-synthesizer](https://huggingface.co/spaces/davanstrien/instruction-synthesizer) for implementing our approach
|
| 36 |
- Context-Based Instruction Synthesizer: [instruction-synthesizer](https://huggingface.co/instruction-pretrain/instruction-synthesizer)
|
| 37 |
- Fine-Tuning Data for the Synthesizer: [ft-instruction-synthesizer-collection](https://huggingface.co/datasets/instruction-pretrain/ft-instruction-synthesizer-collection)
|
| 38 |
- General Models Pre-Trained from Scratch (on 100B tokes):
|
|
|
|
| 112 |
}
|
| 113 |
```
|
| 114 |
|
| 115 |
+
[Adapt LLM to Domains](https://huggingface.co/papers/2309.09530)
|
| 116 |
```bibtex
|
| 117 |
@inproceedings{
|
| 118 |
cheng2024adapting,
|