pubmed-abs-noise-04 – AI Model by gayanin | AlphaNeural AI

You can deploy this model and start earning money today!

gayanin/
pubmed-abs-noise-04

like

0

text2text-generation

generated_from_trainer

facebook/bart-base

endpoints_compatible

Views

No views yet

pubmed-abs-noise-04

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

Loss: 0.5519

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.9533	0.11	500	0.7930
0.8667	0.21	1000	0.7234
0.797	0.32	1500	0.6901
0.7887	0.43	2000	0.6696
0.7616	0.54	2500	0.6600
0.6708	0.64	3000	0.6435
0.6794	0.75	3500	0.6287
0.6342	0.86	4000	0.6163
0.6815	0.96	4500	0.6073
0.6312	1.07	5000	0.6038
0.5506	1.18	5500	0.5975
0.5828	1.28	6000	0.5972
0.5568	1.39	6500	0.5920
0.5834	1.5	7000	0.5809
0.5236	1.61	7500	0.5808
0.5446	1.71	8000	0.5727
0.5838	1.82	8500	0.5691
0.5038	1.93	9000	0.5628
0.469	2.03	9500	0.5687
0.4529	2.14	10000	0.5673
0.4987	2.25	10500	0.5614
0.4471	2.35	11000	0.5621
0.4831	2.46	11500	0.5569
0.4683	2.57	12000	0.5565
0.4547	2.68	12500	0.5562
0.4346	2.78	13000	0.5543
0.47	2.89	13500	0.5534
0.4144	3.0	14000	0.5519

Framework versions

Transformers 4.34.1
Pytorch 2.1.0
Datasets 2.14.7
Tokenizers 0.14.1