README.md

metadata

license: mit
base_model: BramVanroy/fietje-2b
tags:
  - trl
  - fietje
  - alignment-handbook
  - sft
datasets:
  - BramVanroy/ultrachat_200k_dutch
  - BramVanroy/no_robots_dutch
  - BramVanroy/belebele_dutch
model-index:
  - name: fietje-2b-instruct
    results: []
pipeline_tag: text-generation
inference: false
language:
  - nl

Fietje 2B Instruct

An open and efficient LLM for Dutch

👱‍♀️ Base version - 🤖 Instruct version (this one) - 💬 Chat version - 🚀 GGUF of instruct model

fietje-2b-sft

This model is a fine-tuned version of BramVanroy/fietje-2b on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 0.8818

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: 6e-05
• train_batch_size: 42
• eval_batch_size: 42
• seed: 42
• distributed_type: multi-GPU
• num_devices: 16
• total_train_batch_size: 672
• total_eval_batch_size: 672
• optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-07
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.9325	1.0	178	0.9060
0.8687	2.0	356	0.8850
0.8385	3.0	534	0.8818

Framework versions

• Transformers 4.39.1
• Pytorch 2.1.2+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2