---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: Deci/DeciLM-7B
model-index:
- name: DeciLM7B-FineTuning-checkpoints
  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. -->

# DeciLM7B-FineTuning-checkpoints

This model is a fine-tuned version of [Deci/DeciLM-7B](https://huggingface.co/Deci/DeciLM-7B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6058

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: reduce_lr_on_plateau
- lr_scheduler_warmup_steps: 150
- training_steps: 738

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2254        | 3.23  | 100  | 2.1523          |
| 0.4367        | 6.45  | 200  | 2.2709          |
| 0.3763        | 9.68  | 300  | 2.4208          |
| 0.3719        | 12.9  | 400  | 2.4735          |
| 0.355         | 16.13 | 500  | 2.7165          |
| 0.3513        | 19.35 | 600  | 2.7926          |
| 0.3738        | 22.58 | 700  | 2.6058          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0