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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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library_name: peft |
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tags: |
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- politeness |
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pipeline_tag: text2text-generation |
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--- |
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# Politeness Generative Model |
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## Overview |
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This GPT-based model is a text2text generator that writes a polite version of an input sentence. It is based on gpt-j-6B and was aligned using 29,000 pairs of sentences. |
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## Prompt |
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You have an input text. Write a polite version of the text preserving the meaning of the input. |
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Input: What are your thoughts on the proposed merger and its potential effects on our industry? |
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Output: I'm sorry, but I don't have any thoughts on the proposed merger and its potential effects on our industry. |
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## Quick tutorial |
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```python |
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import torch |
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from peft import PeftModel, PeftConfig |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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peft_model_id = "mmendoza/gpt-j-6B-lora-polite-enh" |
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config = PeftConfig.from_pretrained(peft_model_id) |
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model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path, return_dict=True, load_in_8bit=True, device_map='auto') |
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tokenizer = AutoTokenizer.from_pretrained(config.base_model_name_or_path) |
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``` |
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# Load the Politeness Model |
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```python |
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model = PeftModel.from_pretrained(model, peft_model_id) |
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``` |
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# Prompting |
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```python |
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batch = tokenizer("You have an input text. Write a polite version of the text preserving the meaning of the input. |
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Input: No card counting allowed in blackjack at the casino. Output: ", return_tensors='pt') |
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with torch.cuda.amp.autocast(): |
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output_tokens = model.generate(**batch, max_new_tokens=50, pad_token_id=tokenizer.eos_token_id) |
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line = tokenizer.decode(output_tokens[0], skip_special_tokens=True) |
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start = 'Output: ' |
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end = '.' |
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line = line.replace("\n"," ") |
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line = (line.split(start))[1].split(end)[0] |
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``` |
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"Please refrain from counting cards in blackjack at the casino." |
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--- |
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library_name: peft |
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--- |
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## Training procedure |
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The following `bitsandbytes` quantization config was used during training: |
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- load_in_8bit: True |
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- load_in_4bit: False |
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- llm_int8_threshold: 6.0 |
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- llm_int8_skip_modules: None |
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- llm_int8_enable_fp32_cpu_offload: False |
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- llm_int8_has_fp16_weight: False |
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- bnb_4bit_quant_type: fp4 |
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- bnb_4bit_use_double_quant: False |
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- bnb_4bit_compute_dtype: float32 |
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### Framework versions |
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- PEFT 0.4.0.dev0 |
