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README.md
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@@ -59,13 +59,15 @@ The training used 5*A800 for 3 epochs
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train_steps_per_second = 0.224
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We can see from some preliminary results, the conversation is natural and informative (unsurprisingly)
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6413d7be996b2e426f230fb7/pklSsljCRN34QuL2ZF2zU.png)
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6413d7be996b2e426f230fb7/22pTSVkBCVlQ5N8A8JBkF.png)
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train_steps_per_second = 0.224
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```
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We can see from some preliminary results, the conversation is natural and informative (unsurprisingly).
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6413d7be996b2e426f230fb7/WfQYyyLxtXA2KlePmIPQJ.png)
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Also we observe the unfiltering seems to be working! **Heads up** some examples are unsafe and inappropriate, this is entirely for research purposes, to test how alignment-filtered SFT data affect LLM's final output.
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6413d7be996b2e426f230fb7/pklSsljCRN34QuL2ZF2zU.png)
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6413d7be996b2e426f230fb7/22pTSVkBCVlQ5N8A8JBkF.png)
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