---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: tiiuae/falcon-rw-1b
model-index:
- name: qlora-out
  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. -->

[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
# qlora-out

This model is a fine-tuned version of [tiiuae/falcon-rw-1b](https://huggingface.co./tiiuae/falcon-rw-1b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2365

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3201        | 0.0   | 5    | 1.9676          |
| 2.2557        | 0.0   | 10   | 1.7400          |
| 1.571         | 0.0   | 15   | 1.6036          |
| 1.3875        | 0.01  | 20   | 1.5074          |
| 1.5436        | 0.01  | 25   | 1.4680          |
| 1.4257        | 0.01  | 30   | 1.4222          |
| 1.097         | 0.01  | 35   | 1.4049          |
| 1.4748        | 0.01  | 40   | 1.3831          |
| 1.1752        | 0.01  | 45   | 1.3784          |
| 1.3857        | 0.01  | 50   | 1.3780          |
| 1.5965        | 0.01  | 55   | 1.3631          |
| 1.071         | 0.02  | 60   | 1.3275          |
| 1.197         | 0.02  | 65   | 1.3171          |
| 1.8883        | 0.02  | 70   | 1.3108          |
| 1.0119        | 0.02  | 75   | 1.3053          |
| 1.399         | 0.02  | 80   | 1.3035          |
| 1.5369        | 0.02  | 85   | 1.3028          |
| 1.5707        | 0.02  | 90   | 1.2982          |
| 1.0073        | 0.03  | 95   | 1.3020          |
| 1.1018        | 0.03  | 100  | 1.2908          |
| 1.2036        | 0.03  | 105  | 1.2742          |
| 1.2444        | 0.03  | 110  | 1.2967          |
| 0.6345        | 0.03  | 115  | 1.2656          |
| 1.0579        | 0.03  | 120  | 1.2641          |
| 1.2388        | 0.03  | 125  | 1.2543          |
| 1.0607        | 0.04  | 130  | 1.2552          |
| 1.0723        | 0.04  | 135  | 1.2611          |
| 1.3775        | 0.04  | 140  | 1.2582          |
| 1.1543        | 0.04  | 145  | 1.2527          |
| 1.1324        | 0.04  | 150  | 1.2365          |
| 0.7309        | 0.04  | 155  | 1.2445          |
| 1.3585        | 0.04  | 160  | 1.2491          |
| 1.0855        | 0.04  | 165  | 1.2365          |


### Framework versions

- PEFT 0.7.1.dev0
- Transformers 4.36.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0