---
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: 1.8029

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4551        | 0.04  | 10   | 2.4085          |
| 1.4203        | 0.08  | 20   | 2.3957          |
| 1.6967        | 0.13  | 30   | 2.1396          |
| 1.5897        | 0.17  | 40   | 2.2547          |
| 1.4068        | 0.21  | 50   | 2.2484          |
| 2.4724        | 0.25  | 60   | 2.1803          |
| 1.6358        | 0.3   | 70   | 2.0363          |
| 1.7565        | 0.34  | 80   | 2.3048          |
| 1.9326        | 0.38  | 90   | 2.2237          |
| 1.4726        | 0.42  | 100  | 1.9666          |
| 2.6885        | 0.47  | 110  | 2.0889          |
| 1.7221        | 0.51  | 120  | 2.0868          |
| 2.7958        | 0.55  | 130  | 2.0033          |
| 1.6916        | 0.59  | 140  | 2.0824          |
| 0.9544        | 0.64  | 150  | 2.1048          |
| 1.8363        | 0.68  | 160  | 1.9306          |
| 2.2805        | 0.72  | 170  | 2.0956          |
| 2.2398        | 0.76  | 180  | 2.1049          |
| 1.0369        | 0.81  | 190  | 2.0348          |
| 0.9023        | 0.85  | 200  | 1.9050          |
| 1.1511        | 0.89  | 210  | 2.0645          |
| 1.1805        | 0.93  | 220  | 1.9241          |
| 1.0402        | 0.97  | 230  | 2.0542          |
| 1.1116        | 1.02  | 240  | 1.9184          |
| 2.2786        | 1.06  | 250  | 2.0039          |
| 1.5313        | 1.1   | 260  | 1.9232          |
| 1.0101        | 1.14  | 270  | 1.8365          |
| 1.3444        | 1.19  | 280  | 1.9812          |
| 1.9973        | 1.23  | 290  | 2.0105          |
| 1.001         | 1.27  | 300  | 1.8029          |
| 1.5717        | 1.31  | 310  | 1.8190          |
| 1.7842        | 1.36  | 320  | 2.0034          |
| 0.841         | 1.4   | 330  | 2.0345          |
| 0.9212        | 1.44  | 340  | 1.9301          |
| 1.6442        | 1.48  | 350  | 2.0139          |
| 2.0697        | 1.53  | 360  | 2.1341          |
| 1.0772        | 1.57  | 370  | 2.0179          |
| 1.4152        | 1.61  | 380  | 1.8754          |
| 0.912         | 1.65  | 390  | 1.9178          |
| 1.7032        | 1.69  | 400  | 1.9235          |


### Framework versions

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