bert_key_extractor_finetune – AI Model by alexpaunoiu | AlphaNeural AI

You can deploy this model and start earning money today!

alexpaunoiu/
bert_key_extractor_finetune

like

0

text2text-generation

generated_from_trainer

facebook/bart-base

endpoints_compatible

Views

No views yet

bert_key_extractor_finetune

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

Loss: 2.0069

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: 0.0001
train_batch_size: 8
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss
11.322	0.99	14	10.9937
9.3954	1.98	28	8.8487
6.5458	2.97	42	5.9401
5.1036	3.96	56	4.6196
3.8587	4.96	70	3.4009
2.7987	5.95	84	2.7571
2.6306	6.94	98	2.5074
2.3636	8.0	113	2.3132
2.2169	8.99	127	2.2248
2.1732	9.98	141	2.1092
2.0377	10.97	155	2.0351
1.9973	11.89	168	2.0069

Framework versions

Transformers 4.34.1
Pytorch 2.0.0+cu117
Datasets 2.14.5
Tokenizers 0.14.1