---
library_name: peft
tags:
- generated_from_trainer
base_model: Rocketknight1/falcon-rw-1b
model-index:
- name: falcon-clf
  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-clf

This model is a fine-tuned version of [Rocketknight1/falcon-rw-1b](https://huggingface.co/Rocketknight1/falcon-rw-1b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4504

## 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: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7984        | 0.99  | 77   | 0.7167          |
| 0.7175        | 1.99  | 155  | 0.6955          |
| 0.6092        | 2.99  | 233  | 0.6690          |
| 0.5426        | 3.99  | 311  | 0.6549          |
| 0.7676        | 5.0   | 389  | 0.6416          |
| 0.6552        | 6.0   | 467  | 0.6216          |
| 0.5989        | 7.0   | 545  | 0.6039          |
| 0.4944        | 8.0   | 623  | 0.5810          |
| 0.4591        | 8.99  | 700  | 0.5615          |
| 0.5415        | 9.99  | 778  | 0.5429          |
| 0.4794        | 10.99 | 856  | 0.5187          |
| 0.4347        | 11.99 | 934  | 0.4982          |
| 0.3487        | 13.0  | 1012 | 0.4845          |
| 0.3229        | 14.0  | 1090 | 0.4724          |
| 0.3946        | 15.0  | 1168 | 0.4624          |
| 0.3689        | 16.0  | 1246 | 0.4574          |
| 0.3191        | 16.99 | 1323 | 0.4529          |
| 0.2793        | 17.99 | 1401 | 0.4509          |
| 0.3675        | 18.99 | 1479 | 0.4504          |
| 0.3215        | 19.78 | 1540 | 0.4504          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.1
- Pytorch 2.0.0+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2