---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: tiiuae/falcon-7b-instruct
model-index:
- name: falcon-clf
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# falcon-clf

This model is a fine-tuned version of [tiiuae/falcon-7b-instruct](https://huggingface.co/tiiuae/falcon-7b-instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1042

## 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3765        | 0.99  | 77   | 1.2102          |
| 1.2009        | 1.99  | 155  | 1.1354          |
| 1.0374        | 2.99  | 233  | 1.1166          |
| 0.9339        | 3.99  | 311  | 1.1075          |
| 1.2649        | 4.94  | 385  | 1.1042          |


### Framework versions

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