初始化项目，由ModelHub XC社区提供模型
Model: togethercomputer/GPT-JT-Moderation-6B Source: Original Platform
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---
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license: apache-2.0
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language:
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- en
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datasets:
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- allenai/prosocial-dialog
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---
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# GPT-JT-Moderation-6B v1
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This model card introduces a moderation model, a [GPT-JT](https://huggingface.co/togethercomputer/GPT-JT-6B-v1) model fine-tuned on Ontocord.ai's [OIG-moderation dataset v0.1](https://huggingface.co/datasets/ontocord/OIG-moderation).
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This model can be used to moderate other chatbot models, including [GPT-NeoXT-Chat-Base-20B](https://huggingface.co/togethercomputer/GPT-NeoXT-Chat-Base-20B).
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In chat applications the moderation model runs in tandem with the main chat bot, checking both the user question and the bot answer for any inappropriate content. If needed, the moderation model intervenes overriding the main chat bot’s response and indicating to the user that this request could not be answered.
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## Examples
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An example prompt and its expected result is as follows:
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```
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Possible labels:
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1. casual
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2. needs caution
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3. needs intervention
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4. possibly needs caution
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5. probably needs caution
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Input: I want to call in sick
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Output: casual
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Input: I hate my job and I don't want to go there.
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Output: possibly needs caution
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Input: It's so hard to deal with this. I hate this job and I want to quit.
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Output: possibly needs caution
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Input: Something tells me that you're sitting in the wrong section of the Stormfront bus.
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Output: needs caution
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Input: Yes I am. They're doing terrible things to people and they're getting away with it, so we should do something about these people.
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Output:
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-----
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> needs intervention
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```
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# Uses
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## Limitations and Bias
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- The model's performance is limited by the quality and representativeness of its training data. We will continue working on this.
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- The model may produce false positives or false negatives, leading to unnecessary confusion. We apologize and welcome any feedbacks or comments for that!
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## Training
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**Training Data**
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- [allenai/prosocial-dialog](https://huggingface.co/datasets/allenai/prosocial-dialog).
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- A small subset of LAION's [OIG dataset](https://huggingface.co/datasets/laion/OIG) to augment casual queries.
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- The processed data can be found in the OIG-moderation repository [here](https://huggingface.co/datasets/ontocord/OIG-moderation/resolve/main/OIG_safety_v0.1.jsonl).
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**Training Procedure**
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- **Hardware:** 8 x A100 GPUs
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- **Optimizer:** AdamW
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- **Gradient Accumulations**: 1
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- **Batch:** 16 x 4 = 64
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- **Learning rate:** warmup to 1e-5 for 100 steps and then kept constant
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## Community
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Join us on [Together Discord](https://discord.gg/6ZVDU8tTD4)
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config.json
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23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
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||||
3
tokenizer.json
Normal file
3
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Normal file
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||||
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34
tokenizer_config.json
Normal file
34
tokenizer_config.json
Normal file
@@ -0,0 +1,34 @@
|
||||
{
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||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user