This model is a fine-tuned version of imvladikon/alephbertgimmel-base-512 on the nemo_corpus dataset. It achieves the following results on the evaluation set:

Loss: 0.1231
Precision: 0.8048
Recall: 0.8059
F1: 0.8054
Accuracy: 0.9724

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: 8
eval_batch_size: 8
seed: 42
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	Precision	Recall	F1	Accuracy
0.375	1.0	618	0.1505	0.7767	0.7590	0.7678	0.9660
0.1377	2.0	1236	0.1240	0.8188	0.8046	0.8116	0.9720
0.0967	3.0	1854	0.1231	0.8048	0.8059	0.8054	0.9724

Framework versions

Transformers 4.35.2
Pytorch 2.0.1+cpu
Datasets 2.15.0
Tokenizers 0.15.0

msperka/aleph_bert_gimmel-finetuned-ner

aleph_bert_gimmel-finetuned-ner

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

msperka/
aleph_bert_gimmel-finetuned-ner