Salfo
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salfo-test-trainer

Text Classification

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text-embeddings-inference

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salfo-test-trainer

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

Loss: 0.4837
Accuracy: 0.8382
F1: 0.8866

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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	459	0.5474	0.7059	0.8198
0.6259	2.0	918	0.4626	0.8137	0.8690
0.5063	3.0	1377	0.4837	0.8382	0.8866

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

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Safetensors

Model size

0.1B params

Tensor type

F32

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google-bert/bert-base-uncased

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