bert-base-fine-tuned-text-classificarion-ds – AI Model by Sleoruiz | AlphaNeural AI | AlphaNeural AI

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Sleoruiz/
bert-base-fine-tuned-text-classificarion-ds

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text-classification

generated_from_trainer

google-bert/bert-base-multilingual-cased

autotrain_compatible

endpoints_compatible

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bert-base-fine-tuned-text-classificarion-ds

This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9226
F1: 0.7658
Recall: 0.7781
Accuracy: 0.7781
Precision: 0.7732

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Recall	Accuracy	Precision
No log	1.0	442	1.6778	0.5689	0.6220	0.6220	0.5666
2.5427	2.0	884	1.2190	0.6737	0.7091	0.7091	0.6681
1.2661	3.0	1326	1.0742	0.7099	0.7440	0.7440	0.7132
0.8666	4.0	1768	1.0213	0.7374	0.7526	0.7526	0.7447
0.6456	5.0	2210	0.9226	0.7658	0.7781	0.7781	0.7732

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3