---
tags:
- generated_from_trainer
datasets:
- BramVanroy/alpaca-dolly-dutch
model-index:
- name: 1e-3lr+512tbs@4n4gpus80
  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. -->

# 1e-3lr+512tbs@4n4gpus80

This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-bf16](https://huggingface.co/ybelkada/falcon-7b-sharded-bf16) on the BramVanroy/alpaca-dolly-dutch dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2612

## 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: 0.001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- num_devices: 16
- total_train_batch_size: 512
- total_eval_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8677        | 0.16  | 20   | 1.6766          |
| 1.5635        | 0.32  | 40   | 1.5643          |
| 1.6353        | 0.48  | 60   | 1.4980          |
| 1.5166        | 0.65  | 80   | 1.4516          |
| 1.4287        | 0.81  | 100  | 1.4096          |
| 1.5791        | 0.97  | 120  | 1.3802          |
| 1.3911        | 1.13  | 140  | 1.3633          |
| 1.356         | 1.29  | 160  | 1.3419          |
| 1.2524        | 1.45  | 180  | 1.3263          |
| 1.4224        | 1.61  | 200  | 1.3056          |
| 1.2266        | 1.77  | 220  | 1.2897          |
| 1.3242        | 1.94  | 240  | 1.2785          |
| 1.03          | 2.1   | 260  | 1.2957          |
| 1.1643        | 2.26  | 280  | 1.2970          |
| 1.1492        | 2.42  | 300  | 1.2779          |
| 1.0679        | 2.58  | 320  | 1.2770          |
| 1.2695        | 2.74  | 340  | 1.2658          |
| 1.0439        | 2.9   | 360  | 1.2612          |
| 0.9453        | 3.06  | 380  | 1.3157          |
| 0.8494        | 3.23  | 400  | 1.3189          |
| 1.0745        | 3.39  | 420  | 1.3073          |
| 0.8679        | 3.55  | 440  | 1.3019          |
| 1.0569        | 3.71  | 460  | 1.2955          |
| 1.0186        | 3.87  | 480  | 1.2890          |
| 0.8413        | 4.03  | 500  | 1.3445          |


### Framework versions

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