---
library_name: peft
license: other
base_model: mistralai/Mistral-7B-Instruct-v0.1
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: Coinbase-OPL
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Coinbase-OPL

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the 4b364113-ef86-4b80-a3ad-92d16b9f7e96_1_alpaca dataset.

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 3.0

### Training results



### Framework versions

- PEFT 0.12.0
- Transformers 4.49.0
- Pytorch 2.7.0+cu126
- Datasets 3.2.0
- Tokenizers 0.21.0