---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: tiiuae/falcon-7b
model-index:
- name: working
  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. -->

# working

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: 0.6524

## 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: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4729        | 0.95  | 5    | 2.1690          |
| 2.3701        | 1.9   | 10   | 2.0002          |
| 2.1498        | 2.86  | 15   | 1.8282          |
| 1.5589        | 4.0   | 21   | 1.6084          |
| 1.7043        | 4.95  | 26   | 1.4217          |
| 1.315         | 5.9   | 31   | 1.2678          |
| 1.1273        | 6.86  | 36   | 1.1439          |
| 0.7666        | 8.0   | 42   | 1.0079          |
| 0.762         | 8.95  | 47   | 0.9406          |
| 0.6241        | 9.9   | 52   | 0.8969          |
| 0.5211        | 10.86 | 57   | 0.8128          |
| 0.3836        | 12.0  | 63   | 0.7788          |
| 0.396         | 12.95 | 68   | 0.7358          |
| 0.3255        | 13.9  | 73   | 0.7152          |
| 0.2863        | 14.86 | 78   | 0.6880          |
| 0.2405        | 16.0  | 84   | 0.6383          |
| 0.2471        | 16.95 | 89   | 0.6414          |
| 0.2214        | 17.9  | 94   | 0.6250          |
| 0.2074        | 18.86 | 99   | 0.6280          |
| 0.1682        | 20.0  | 105  | 0.6317          |
| 0.1984        | 20.95 | 110  | 0.6157          |
| 0.1817        | 21.9  | 115  | 0.6330          |
| 0.1723        | 22.86 | 120  | 0.6154          |
| 0.1393        | 24.0  | 126  | 0.6111          |
| 0.1615        | 24.95 | 131  | 0.6330          |
| 0.177         | 25.9  | 136  | 0.6185          |
| 0.1462        | 26.86 | 141  | 0.6225          |
| 0.1204        | 28.0  | 147  | 0.6225          |
| 0.1494        | 28.95 | 152  | 0.6336          |
| 0.1463        | 29.9  | 157  | 0.6345          |
| 0.1507        | 30.86 | 162  | 0.6250          |
| 0.1163        | 32.0  | 168  | 0.6178          |
| 0.1556        | 32.95 | 173  | 0.6377          |
| 0.1465        | 33.9  | 178  | 0.6392          |
| 0.1391        | 34.86 | 183  | 0.6459          |
| 0.113         | 36.0  | 189  | 0.6572          |
| 0.1386        | 36.95 | 194  | 0.6436          |
| 0.1497        | 37.9  | 199  | 0.6284          |
| 0.1567        | 38.86 | 204  | 0.6434          |
| 0.1097        | 40.0  | 210  | 0.6492          |
| 0.1276        | 40.95 | 215  | 0.6451          |
| 0.1423        | 41.9  | 220  | 0.6395          |
| 0.126         | 42.86 | 225  | 0.6457          |
| 0.1064        | 44.0  | 231  | 0.6517          |
| 0.131         | 44.95 | 236  | 0.6525          |
| 0.1224        | 45.9  | 241  | 0.6517          |
| 0.1399        | 46.86 | 246  | 0.6521          |
| 0.0991        | 47.62 | 250  | 0.6524          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2