mBERT_sa_cv_9_fold6 – AI Model by DiederikMartens | AlphaNeural AI

You can deploy this model and start earning money today!

DiederikMartens/
mBERT_sa_cv_9_fold6

like

0

text-classification

generated_from_trainer

google-bert/bert-base-multilingual-cased

autotrain_compatible

endpoints_compatible

Views

No views yet

mBERT_sa_cv_9_fold6

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

Loss: 0.5171
F1: 0.6418

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: 4.47e-05
train_batch_size: 16
eval_batch_size: 32
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
No log	1.0	325	0.4356	0.5107
0.5161	2.0	650	0.4205	0.6172
0.5161	3.0	975	0.5171	0.6418

Framework versions

Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1