tsBERT_sa_cv_12_fold2 – AI Model by DiederikMartens | AlphaNeural AI

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DiederikMartens/
tsBERT_sa_cv_12_fold2

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text-classification

generated_from_trainer

igorsterner/german-english-code-switching-bert

autotrain_compatible

endpoints_compatible

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tsBERT_sa_cv_12_fold2

This model is a fine-tuned version of igorsterner/german-english-code-switching-bert on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4553
F1: 0.6531

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: 4.47e-05
train_batch_size: 16
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	226	0.3550	0.5693
No log	2.0	452	0.3737	0.6332
0.3364	3.0	678	0.4553	0.6531

Framework versions

Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1