---
license: apache-2.0
base_model: tiiuae/falcon-7b
tags:
- generated_from_trainer
model-index:
- name: Falcon-CN
  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-CN

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: 2.2484

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5969        | 0.24  | 10   | 2.5105          |
| 2.332         | 0.49  | 20   | 2.4691          |
| 2.418         | 0.73  | 30   | 2.4289          |
| 2.4031        | 0.98  | 40   | 2.4040          |
| 2.3109        | 1.22  | 50   | 2.3807          |
| 2.3516        | 1.46  | 60   | 2.3600          |
| 2.2906        | 1.71  | 70   | 2.3406          |
| 2.3594        | 1.95  | 80   | 2.3265          |
| 2.2031        | 2.2   | 90   | 2.3151          |
| 2.25          | 2.44  | 100  | 2.3039          |
| 2.2148        | 2.68  | 110  | 2.2911          |
| 2.2594        | 2.93  | 120  | 2.2803          |
| 2.1844        | 3.17  | 130  | 2.2752          |
| 2.0914        | 3.41  | 140  | 2.2714          |
| 2.2008        | 3.66  | 150  | 2.2624          |
| 2.2109        | 3.9   | 160  | 2.2586          |
| 2.1648        | 4.15  | 170  | 2.2548          |
| 2.1484        | 4.39  | 180  | 2.2535          |
| 2.193         | 4.63  | 190  | 2.2484          |
| 2.1219        | 4.88  | 200  | 2.2484          |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2