generated_from_trainer base_model:tiiuae/falcon-7b license:apache-2.0 region:us
---
license: apache-2.0
base_model: tiiuae/falcon-7b
tags:
- generated_from_trainer
model-index:
- name: falcon-rewrite-581-smallset
  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. -->

# falcon-rewrite-581-smallset

This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8491

## 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: 0.0005
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4549        | 0.04  | 10   | 2.5081          |
| 1.9707        | 0.08  | 20   | 2.3356          |
| 1.6966        | 0.13  | 30   | 2.1397          |
| 1.5642        | 0.17  | 40   | 2.2513          |
| 1.409         | 0.21  | 50   | 2.2261          |
| 3.0587        | 0.25  | 60   | 2.2444          |
| 1.6063        | 0.3   | 70   | 2.1045          |
| 1.7254        | 0.34  | 80   | 2.3067          |
| 1.9013        | 0.38  | 90   | 2.1563          |
| 1.4663        | 0.42  | 100  | 2.0248          |
| 2.0913        | 0.47  | 110  | 2.2581          |
| 2.2229        | 0.51  | 120  | 2.1673          |
| 2.7343        | 0.55  | 130  | 1.9779          |
| 2.0081        | 0.59  | 140  | 2.0840          |
| 0.9549        | 0.64  | 150  | 2.1129          |
| 1.8275        | 0.68  | 160  | 1.9253          |
| 2.2735        | 0.72  | 170  | 2.1204          |
| 2.2702        | 0.76  | 180  | 2.2248          |
| 1.015         | 0.81  | 190  | 2.0940          |
| 0.9042        | 0.85  | 200  | 1.8826          |
| 1.172         | 0.89  | 210  | 2.0679          |
| 1.136         | 0.93  | 220  | 1.8751          |
| 1.0424        | 0.97  | 230  | 1.8596          |
| 0.9668        | 1.02  | 240  | 2.0500          |
| 2.2238        | 1.06  | 250  | 1.9991          |
| 1.5063        | 1.1   | 260  | 1.8657          |
| 1.5397        | 1.14  | 270  | 1.8491          |
| 1.4312        | 1.19  | 280  | 2.1349          |
| 2.1914        | 1.23  | 290  | 2.2101          |
| 1.0044        | 1.27  | 300  | 1.9527          |
| 2.1416        | 1.31  | 310  | 1.9139          |
| 1.7783        | 1.36  | 320  | 1.9060          |
| 0.7976        | 1.4   | 330  | 2.2042          |
| 0.9139        | 1.44  | 340  | 1.9813          |
| 1.7734        | 1.48  | 350  | 2.1706          |
| 0.875         | 1.53  | 360  | 2.1350          |
| 0.9744        | 1.57  | 370  | 1.9577          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3
