goldmermaid
commited on
Commit
•
5a7b9c4
1
Parent(s):
ab54afd
short instruction
Browse files
README.md
ADDED
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# 🚀 RLHF Step-2 Reward Model
|
2 |
+
This repository is home to a RLHF reward model. This model is trained on questions and answers from the Stack Overflow Data Dump (https://huggingface.co/datasets/HuggingFaceH4/stack-exchange-preferences), using the `distilroberta-base` model (https://huggingface.co/distilroberta-base) as a base.
|
3 |
+
|
4 |
+
## Usage
|
5 |
+
You can use this model directly with a pipeline for tasks such as text generation and instruction following:
|
6 |
+
|
7 |
+
```python
|
8 |
+
from transformers import (
|
9 |
+
AutoModelForSequenceClassification,
|
10 |
+
AutoTokenizer,
|
11 |
+
pipeline
|
12 |
+
)
|
13 |
+
|
14 |
+
reward_model = AutoModelForSequenceClassification.from_pretrained(
|
15 |
+
cambioml/rlhf_reward_model,
|
16 |
+
num_labels=1,
|
17 |
+
# torch_dtype=torch.bfloat16,
|
18 |
+
load_in_8bit=True,
|
19 |
+
device_map={"": Accelerator().process_index}
|
20 |
+
)
|
21 |
+
|
22 |
+
reward_tokenizer = AutoTokenizer.from_pretrained(cambioml/rlhf_reward_model)
|
23 |
+
reward_tokenizer.pad_token = reward_tokenizer.eos_token
|
24 |
+
|
25 |
+
|
26 |
+
reward_kwargs = {
|
27 |
+
"return_all_scores": True,
|
28 |
+
"function_to_apply": "none",
|
29 |
+
"batch_size": 32,
|
30 |
+
"truncation": True,
|
31 |
+
"max_length": 138
|
32 |
+
}
|
33 |
+
|
34 |
+
reward_pipe = pipeline(
|
35 |
+
"sentiment-analysis",
|
36 |
+
model=reward_model,
|
37 |
+
model_kwargs=reward_kwargs,
|
38 |
+
tokenizer=reward_tokenizer,
|
39 |
+
return_token_type_ids=False,
|
40 |
+
)
|
41 |
+
```
|