bert-base-multilingual-cased-finetuned-newqa1 – AI Model by badokorach | AlphaNeural AI

You can deploy this model and start earning money today!

badokorach/
bert-base-multilingual-cased-finetuned-newqa1

like

0

question-answering

generated_from_trainer

google-bert/bert-base-multilingual-cased

endpoints_compatible

Views

No views yet

bert-base-multilingual-cased-finetuned-newqa1

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

Loss: 3.6464

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
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	66	2.4436
No log	2.0	132	2.9332
No log	3.0	198	2.8448
No log	4.0	264	3.1388
No log	5.0	330	3.3338
No log	6.0	396	3.3124
No log	7.0	462	3.2653
0.5371	8.0	528	3.4633
0.5371	9.0	594	3.5907
0.5371	10.0	660	3.5120
0.5371	11.0	726	3.6371
0.5371	12.0	792	3.6414
0.5371	13.0	858	3.5953
0.5371	14.0	924	3.6044
0.5371	15.0	990	3.6464

Framework versions

Transformers 4.33.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3