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sytnaxerror/
robbert-large-with-dbrd-colab

Name: robbert-large-with-dbrd-colab
Availability: InStock

generated_from_trainer

DTAI-KULeuven/robbert-2023-dutch-large

finetune

mit

text-embeddings-inference

endpoints_compatible

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robbert-large-with-dbrb

This model is a fine-tuned version of DTAI-KULeuven/robbert-2023-dutch-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2588
Accuracy: 0.9164

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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.1304	1.0	313	0.2435	0.8975
0.8240	2.0	626	0.2477	0.9042
0.4539	3.0	939	0.2588	0.9164

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

sytnaxerror/robbert-large-with-dbrd-colab

robbert-large-with-dbrb

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sytnaxerror/
robbert-large-with-dbrd-colab