---
license: other
library_name: peft
tags:
- generated_from_trainer
base_model: stabilityai/stablelm-2-1_6b
model-index:
- name: patent-instruct-finetune-model-ner-stablelm
  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. -->

# patent-instruct-finetune-model-ner-stablelm

This model is a fine-tuned version of [stabilityai/stablelm-2-1_6b](https://huggingface.co/stabilityai/stablelm-2-1_6b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7565

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7503        | 1.0   | 2043 | 1.7837          |
| 1.7292        | 2.0   | 4086 | 1.7616          |
| 1.7212        | 3.0   | 6129 | 1.7565          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2