RonTon05
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BERT-HSD

Text Classification

Generated from Trainer

text-embeddings-inference

Model card Files Files and versions

BERT-HSD

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

Loss: 0.3432
Accuracy: 0.9195
F1: 0.9137

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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.3645	1.0	5696	0.3171	0.913	0.9026
0.2741	2.0	11392	0.3432	0.9195	0.9137

Framework versions

Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Downloads last month: 2

Safetensors

Model size

0.1B params

Tensor type

F32

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Base model

google-bert/bert-base-uncased

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