---
license: apache-2.0
base_model: tiiuae/falcon-40b
tags:
- generated_from_trainer
model-index:
- name: PointCon-falcon-40b-2
  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. -->

# PointCon-falcon-40b-2

This model is a fine-tuned version of [tiiuae/falcon-40b](https://huggingface.co/tiiuae/falcon-40b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8131

## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9879        | 0.26  | 30   | 1.9850          |
| 1.9725        | 0.53  | 60   | 1.9057          |
| 1.8858        | 0.79  | 90   | 1.8573          |
| 1.8604        | 1.05  | 120  | 1.8330          |
| 1.7798        | 1.32  | 150  | 1.8250          |
| 1.7554        | 1.58  | 180  | 1.8169          |
| 1.7917        | 1.84  | 210  | 1.8127          |
| 1.7538        | 2.11  | 240  | 1.8102          |
| 1.6949        | 2.37  | 270  | 1.8133          |
| 1.7112        | 2.63  | 300  | 1.8128          |
| 1.7024        | 2.89  | 330  | 1.8131          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1