bert_base_120 – AI Model by gokuls | AlphaNeural AI

You can deploy this model and start earning money today!

gokuls/
bert_base_120

like

0

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

bert_base_120

This model is a fine-tuned version of gokuls/bert_base_96 on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.3904
Accuracy: 0.5602

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: 1e-05
train_batch_size: 48
eval_batch_size: 48
seed: 10
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10000
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.7403	0.08	10000	2.6150	0.5307
2.6939	0.16	20000	2.5743	0.5360
2.6549	0.25	30000	2.5380	0.5408
2.6298	0.33	40000	2.5020	0.5455
2.5883	0.41	50000	2.4715	0.5494
2.5629	0.49	60000	2.4432	0.5533
2.5274	0.57	70000	2.4163	0.5568
2.5059	0.66	80000	2.3904	0.5602

Framework versions

Transformers 4.30.2
Pytorch 1.14.0a0+410ce96
Datasets 2.13.0
Tokenizers 0.13.3