---
license: mit
base_model: Josephgflowers/TinyLlama-Cinder-Agent-v1
tags:
- generated_from_trainer
model-index:
- name: TinyLlama-Cinder-NERd
  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. -->

# TinyLlama-Cinder-NERd

This model is a fine-tuned version of [Josephgflowers/TinyLlama-Cinder-Agent-v1](https://huggingface.co/Josephgflowers/TinyLlama-Cinder-Agent-v1) on a mixed dataset of NER data, address parsing, RAG, and summary.
Special Thanks to https://nationtech.io/ for their generous sponorship in training this model.

![image/png](https://cdn-uploads.huggingface.co/production/uploads/6328952f798f8d122ce62a44/TRMquVVcSYpatpeF4V2NE.png)

## 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: 5e-05
- train_batch_size: 12
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.41.0.dev0
- Pytorch 2.2.2+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1