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-generate-560-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-generate-560-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: 1.2138

## 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5842        | 0.21  | 10   | 2.1612          |
| 2.1402        | 0.43  | 20   | 1.6726          |
| 1.2388        | 0.64  | 30   | 1.7379          |
| 1.593         | 0.85  | 40   | 1.6660          |
| 1.693         | 1.06  | 50   | 1.5479          |
| 1.1697        | 1.28  | 60   | 1.8677          |
| 1.7327        | 1.49  | 70   | 1.6845          |
| 1.5152        | 1.7   | 80   | 1.5870          |
| 2.0819        | 1.91  | 90   | 1.2138          |
| 0.9853        | 2.13  | 100  | 1.9800          |
| 1.0804        | 2.34  | 110  | 1.3695          |
| 1.8216        | 2.55  | 120  | 1.8492          |
| 1.0342        | 2.77  | 130  | 1.8183          |
| 0.9118        | 2.98  | 140  | 1.8248          |
| 0.7258        | 3.19  | 150  | 1.8724          |
| 0.7392        | 3.4   | 160  | 1.8986          |
| 0.9705        | 3.62  | 170  | 2.0972          |
| 1.81          | 3.83  | 180  | 2.1715          |


### Framework versions

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