fine_tuned_mBERT – AI Model by morten-j | AlphaNeural AI

You can deploy this model and start earning money today!

morten-j/
fine_tuned_mBERT

like

0

text-classification

generated_from_trainer

google-bert/bert-base-multilingual-cased

autotrain_compatible

endpoints_compatible

Views

No views yet

fine_tuned_mBERT

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

Loss: 0.1614
F1: 0.7869
F5: 0.8020
Precision: 0.75
Recall: 0.8276

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.2
num_epochs: 8
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1	F5	Precision	Recall
No log	1.0	30	0.2615	0.0	0.0	0.0	0.0
No log	2.0	60	0.1838	0.5333	0.4626	0.8889	0.3810
No log	3.0	90	0.2338	0.3077	0.2491	0.8	0.1905
No log	4.0	120	0.2003	0.6667	0.6268	0.8	0.5714
No log	5.0	150	0.2643	0.5	0.4906	0.5263	0.4762
No log	6.0	180	0.2211	0.6486	0.6168	0.75	0.5714
No log	7.0	210	0.2233	0.6	0.6391	0.5172	0.7143
No log	8.0	240	0.3328	0.5	0.5647	0.3846	0.7143

Framework versions

Transformers 4.38.1
Pytorch 2.2.1+cu121
Datasets 2.17.0
Tokenizers 0.15.2