lettuce_pos_de_mono

pranaydeeps/lettuce_pos_de_mono

lettuce_pos_de_mono is a token classification model from pranaydeeps. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: May 6, 2024
Updated: May 6, 2024
SHA: 70df6944

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Model card

From the Hugging Face model README

pos_final_mono_de

This model is a fine-tuned version of dbmdz/bert-base-german-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1567
Precision: 0.9771
Recall: 0.9791
F1: 0.9781
Accuracy: 0.9810

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: 256
eval_batch_size: 256
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 1024
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 40.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	0.99	128	0.2357	0.9443	0.9413	0.9428	0.9475
No log	1.99	256	0.0513	0.9843	0.9842	0.9842	0.9853
No log	2.99	384	0.0406	0.9868	0.9866	0.9867	0.9875
0.6822	3.99	512	0.0365	0.9877	0.9877	0.9877	0.9885
0.6822	4.99	640	0.0352	0.9881	0.9882	0.9882	0.9890
0.6822	5.99	768	0.0345	0.9887	0.9887	0.9887	0.9895
0.6822	6.99	896	0.0353	0.9888	0.9888	0.9888	0.9896
0.024	7.99	1024	0.0371	0.9886	0.9888	0.9887	0.9895
0.024	8.99	1152	0.0387	0.9888	0.9888	0.9888	0.9896
0.024	9.99	1280	0.0402	0.9890	0.9889	0.9890	0.9898
0.024	10.99	1408	0.0429	0.9889	0.9890	0.9889	0.9897
0.0128	11.99	1536	0.0454	0.9889	0.9889	0.9889	0.9896
0.0128	12.99	1664	0.0461	0.9889	0.9889	0.9889	0.9897
0.0128	13.99	1792	0.0477	0.9892	0.9891	0.9891	0.9899
0.0128	14.99	1920	0.0507	0.9890	0.9891	0.9890	0.9898
0.0069	15.99	2048	0.0514	0.9893	0.9893	0.9893	0.9901
0.0069	16.99	2176	0.0530	0.9892	0.9892	0.9892	0.9899
0.0069	17.99	2304	0.0552	0.9890	0.9891	0.9891	0.9898
0.0069	18.99	2432	0.0567	0.9891	0.9892	0.9892	0.9898
0.0037	19.99	2560	0.0577	0.9892	0.9893	0.9892	0.9900
0.0037	20.99	2688	0.0592	0.9892	0.9893	0.9893	0.9899
0.0037	21.99	2816	0.0606	0.9893	0.9893	0.9893	0.9900
0.0037	22.99	2944	0.0628	0.9893	0.9893	0.9893	0.9900
0.0023	23.99	3072	0.0629	0.9892	0.9891	0.9891	0.9899
0.0023	24.99	3200	0.0625	0.9892	0.9893	0.9893	0.9900
0.0023	25.99	3328	0.0636	0.9893	0.9893	0.9893	0.9900
0.0023	26.99	3456	0.0650	0.9894	0.9894	0.9894	0.9901
0.0017	27.99	3584	0.0644	0.9894	0.9894	0.9894	0.9901
0.0017	28.99	3712	0.0656	0.9895	0.9895	0.9895	0.9901
0.0017	29.99	3840	0.0668	0.9895	0.9895	0.9895	0.9902
0.0017	30.99	3968	0.0666	0.9895	0.9894	0.9894	0.9901
0.0011	31.99	4096	0.0678	0.9894	0.9894	0.9894	0.9900
0.0011	32.99	4224	0.0685	0.9896	0.9896	0.9896	0.9902
0.0011	33.99	4352	0.0692	0.9894	0.9894	0.9894	0.9901
0.0011	34.99	4480	0.0698	0.9895	0.9895	0.9895	0.9902
0.0009	35.99	4608	0.0698	0.9894	0.9894	0.9894	0.9901
0.0009	36.99	4736	0.0695	0.9895	0.9895	0.9895	0.9902
0.0009	37.99	4864	0.0696	0.9894	0.9895	0.9894	0.9902
0.0009	38.99	4992	0.0699	0.9895	0.9895	0.9895	0.9902
0.0007	39.99	5120	0.0697	0.9894	0.9894	0.9894	0.9901

Framework versions

Transformers 4.25.1
Pytorch 1.12.0
Datasets 2.18.0
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: bert
License: mit
Created: May 6, 2024
Updated: May 6, 2024