DistilBERT-POWO_Scratch – AI Model by ViktorDo | AlphaNeural AI

You can deploy this model and start earning money today!

ViktorDo/
DistilBERT-POWO_Scratch

like

0

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

DistilBERT-POWO_Scratch

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

Loss: 4.9068

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: 5
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 40
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
7.104	0.18	200	5.9641
5.6973	0.36	400	5.5992
5.5464	0.54	600	5.4564
5.377	0.72	800	5.3606
5.2162	0.9	1000	5.2674
5.1499	1.08	1200	5.2080
5.1313	1.26	1400	5.1447
5.0138	1.44	1600	5.1041
4.9509	1.62	1800	5.0572
4.9598	1.8	2000	5.0185
4.9581	1.98	2200	5.0109
4.8458	2.16	2400	4.9608
4.953	2.34	2600	4.9482
4.7448	2.52	2800	4.9211
4.8574	2.71	3000	4.9093
4.8402	2.89	3200	4.8980

Framework versions

Transformers 4.25.1
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2