Jacobberk
/

adeBERT

Text Classification

Generated from Trainer

text-embeddings-inference

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adeBERT

This model is a fine-tuned version of google-bert/bert-large-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1700
F1: 0.9551

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: 32
eval_batch_size: 16
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
0.1583	1.0	486	0.1216	0.9505
0.0836	2.0	972	0.1420	0.9588
0.0298	3.0	1458	0.1700	0.9551

Framework versions

Transformers 4.40.0
Pytorch 2.2.2+cu121
Datasets 2.19.0
Tokenizers 0.19.1

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Safetensors

Model size

0.3B params

Tensor type

F32

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google-bert/bert-large-uncased

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