cborann
/

results

Text Classification

Generated from Trainer

text-embeddings-inference

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results

This model is a fine-tuned version of dbmdz/bert-base-turkish-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4416

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: 8
eval_batch_size: 8
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
0.6208	1.0	125	0.6084
0.3842	2.0	250	0.3891
0.1113	3.0	375	0.4416

Framework versions

Transformers 4.45.1
Pytorch 2.2.2+cu121
Datasets 2.19.2
Tokenizers 0.20.3

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Safetensors

Model size

0.1B params

Tensor type

F32

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