---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- BramVanroy/alpaca-dolly-dutch
model-index:
- name: 2e-4lr+512tbs+5ep+32a+4r-v2
  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. -->

# 2e-4lr+512tbs+5ep+32a+4r-v2

This model is a fine-tuned version of [tiiuae/falcon-40b](https://huggingface.co./tiiuae/falcon-40b) on the BramVanroy/alpaca-dolly-dutch dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9154

## 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
- distributed_type: multi-GPU
- num_devices: 16
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 150
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1656        | 0.16  | 20   | 1.0107          |
| 0.9778        | 0.32  | 40   | 0.9711          |
| 1.0424        | 0.49  | 60   | 0.9512          |
| 0.9858        | 0.65  | 80   | 0.9415          |
| 0.9457        | 0.81  | 100  | 0.9341          |
| 1.0584        | 0.97  | 120  | 0.9277          |
| 1.0284        | 1.14  | 140  | 0.9372          |
| 0.8781        | 1.3   | 160  | 0.9295          |
| 0.9531        | 1.46  | 180  | 0.9267          |
| 0.9496        | 1.62  | 200  | 0.9226          |
| 0.9178        | 1.78  | 220  | 0.9192          |
| 1.0763        | 1.95  | 240  | 0.9154          |
| 0.9561        | 2.11  | 260  | 0.9423          |
| 0.7991        | 2.27  | 280  | 0.9368          |
| 0.8503        | 2.43  | 300  | 0.9363          |
| 0.8749        | 2.6   | 320  | 0.9299          |


### Framework versions

- Transformers 4.30.1
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3