---
license: apache-2.0
base_model: tiiuae/falcon-7b
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: CuATR-falcon7b
  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. -->

# CuATR-falcon7b

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: 0.4351
- Accuracy: 0.5652
- F1: 0.7222

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 1.4522        | 1.0   | 23   | 0.8684          | 0.5652   | 0.7222 |
| 0.9683        | 2.0   | 46   | 0.7938          | 0.5652   | 0.7222 |
| 1.5347        | 3.0   | 69   | 0.7187          | 0.5652   | 0.7222 |
| 0.6854        | 4.0   | 92   | 0.6314          | 0.5652   | 0.7222 |
| 0.5356        | 5.0   | 115  | 0.5313          | 0.5652   | 0.7222 |
| 0.2435        | 6.0   | 138  | 0.4704          | 0.5652   | 0.7222 |
| 0.3844        | 7.0   | 161  | 0.4351          | 0.5652   | 0.7222 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0