---
library_name: peft
license: wtfpl
language:
- en
pipeline_tag: text-generation
---

## Model description

togethercomputer/RedPajama-INCITE-Base-3B-v1 finetuned for paraphrasing and changing the tone of the input sentence(to casual/professional/witty).
Sample training data:
```json
{
  "original": "If you have any further questions, feel free to ask.",
  "casual": "Got more questions? Feel free to ask away. I'm here to help!",
  "professional": "Should you have any additional inquiries, please don't hesitate to ask.",
  "witty": "Curiosity is always in style! If you have more mysteries to solve, I'm all ears!",
  "paraphrase": "Don't hesitate to ask if you have any more questions."
}
```

## Training params

```json
{
  "batch_size": 8,
  "eval_ratio": 0.1,
  "eval_steps": 100,
  "gradient_accumulation_steps": 1,
  "learning_rate": 0.0001,
  "logging_steps": 100,
  "lora_alpha": 32,
  "lora_dropout": 0.05,
  "lora_r": 16,
  "max_length": 128,
  "model_name": "togethercomputer/RedPajama-INCITE-Base-3B-v1",
  "num_train_epochs": 3,
  "seed": 10,
  "task_type": "paraphrase_tone",
  "use_aim": True
}
```

## Training curve

![train_eval_loss](RedPajama-INCITE-Base-3B-v1-paraphrase-tone.jpeg)

## Training procedure


The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: bfloat16
### Framework versions


- PEFT 0.4.0.dev0