peft safetensors dataset:yahma/alpaca-cleaned base_model:unsloth/mistral-7b-bnb-4bit region:us
---
library_name: peft
base_model: unsloth/mistral-7b-bnb-4bit
datasets:
- yahma/alpaca-cleaned
---

# Model Card for Model ID

  A 4bit Mistral 7B model finetuned using unsloth on T4 GPU



## Model Details

### Model Description







- **Finetuned from model:** unsloth/mistral-7b-bnb-4bit


- **Repository:** https://github.com/unslothai/unsloth



## Training Details

### Training Data

https://huggingface.co/datasets/yahma/alpaca-cleaned


### Training Procedure 

#### Preprocessing

Alpaca prompt template is used:

```
alpaca_prompt = """Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.

### Instruction:
{}

### Input:
{}

### Response:
{}"""

```



#### Training Hyperparameters

```
        per_device_train_batch_size = 2,
        gradient_accumulation_steps = 4,
        warmup_steps = 5,
        max_steps = 60,
        learning_rate = 2e-4,
        fp16 = not torch.cuda.is_bf16_supported(),
        bf16 = torch.cuda.is_bf16_supported(),
        logging_steps = 1,
        optim = "adamw_8bit",
        weight_decay = 0.01,
        lr_scheduler_type = "linear",
        seed = 3407

```



- **Hardware Type:** T4 GPU
- **Cloud Provider:** Google Colab



### Framework versions

- PEFT 0.7.1