You can deploy this model and start earning money today!

sytnaxerror/
corona-tweet-dutch_social-test5

Name: corona-tweet-dutch_social-test5
Availability: InStock

generated_from_trainer

DTAI-KULeuven/robbert-2023-dutch-base

finetune

mit

text-embeddings-inference

endpoints_compatible

Views

No views yet

corona-tweet-dutch_social-test5

This model is a fine-tuned version of DTAI-KULeuven/robbert-2023-dutch-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2980
Accuracy: 0.9229

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
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
0.2457	1.0	2814	0.2640	0.9143
0.1943	2.0	5628	0.2933	0.9157
0.1189	3.0	8442	0.2980	0.9229

Framework versions

Transformers 5.4.0
Pytorch 2.9.1+cu130
Datasets 4.8.4
Tokenizers 0.22.2

sytnaxerror/corona-tweet-dutch_social-test5

corona-tweet-dutch_social-test5

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sytnaxerror/
corona-tweet-dutch_social-test5