metadata

library_name: transformers
base_model: weqweasdas/gpt2-cpt-dutch
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
  - trl
  - sft
  - generated_from_trainer
datasets:
  - BramVanroy/ultrachat_200k_dutch
model-index:
  - name: gpt2-sft-dutch
    results: []

gpt2-sft-dutch

This model is a fine-tuned version of weqweasdas/gpt2-cpt-dutch on the BramVanroy/ultrachat_200k_dutch dataset. It achieves the following results on the evaluation set:

Loss: 2.9502

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 32
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
3.1156	1.0	76	2.9502

Framework versions

Transformers 4.44.2
Pytorch 2.1.2
Datasets 3.0.0
Tokenizers 0.19.1