beto-sentiment-analysis-finetuned-ner

asdc/beto-sentiment-analysis-finetuned-ner

beto-sentiment-analysis-finetuned-ner is a token classification model from asdc. Use it when you need labels on individual words, such as names. It is set up for transformers.

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

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At a glance

Task: Token Classification
Library: transformers
Model type: bert
Access: Public
Created: Oct 6, 2022
Updated: Oct 6, 2022
SHA: ecaa5d99

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Model card

From the Hugging Face model README

beto-sentiment-analysis-finetuned-ner

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

Loss: 0.9250
Precision: 0.5603
Recall: 0.6436
F1: 0.5991
Accuracy: 0.9863

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: 8e-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
num_epochs: 24

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
1.4102	1.0	3	1.2732	0.0455	0.0198	0.0276	0.9723
0.7776	2.0	6	0.9025	0.1056	0.1485	0.1235	0.9663
0.6861	3.0	9	0.7874	0.1176	0.1980	0.1476	0.9694
0.2837	4.0	12	0.8528	0.1067	0.2376	0.1472	0.9534
0.3182	5.0	15	0.7798	0.2360	0.3762	0.2901	0.9729
0.1673	6.0	18	0.8645	0.1461	0.2574	0.1864	0.9604
0.2065	7.0	21	0.8130	0.2941	0.5446	0.3819	0.9765
0.0794	8.0	24	0.6841	0.4276	0.6139	0.5041	0.9822
0.0543	9.0	27	0.7113	0.4104	0.5446	0.4681	0.9815
0.0278	10.0	30	0.7865	0.4565	0.6238	0.5272	0.9833
0.0598	11.0	33	0.8356	0.4155	0.5842	0.4856	0.9824
0.0108	12.0	36	0.8104	0.4460	0.6139	0.5167	0.9826
0.0235	13.0	39	0.7986	0.5194	0.6634	0.5826	0.9844
0.0134	14.0	42	0.8175	0.6182	0.6733	0.6445	0.9865
0.0124	15.0	45	0.8575	0.6036	0.6634	0.6321	0.9875
0.0049	16.0	48	0.8822	0.6019	0.6436	0.6220	0.9871
0.0097	17.0	51	0.8696	0.5556	0.6436	0.5963	0.9862
0.0067	18.0	54	0.8728	0.5410	0.6535	0.5919	0.9859
0.0045	19.0	57	0.8807	0.5159	0.6436	0.5727	0.9848
0.004	20.0	60	0.8938	0.52	0.6436	0.5752	0.9851
0.0038	21.0	63	0.9108	0.5203	0.6337	0.5714	0.9852
0.004	22.0	66	0.9243	0.5702	0.6436	0.6047	0.9864
0.0106	23.0	69	0.9261	0.5702	0.6436	0.6047	0.9865
0.004	24.0	72	0.9250	0.5603	0.6436	0.5991	0.9863

Framework versions

Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.2
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: bert
Created: Oct 6, 2022
Updated: Oct 6, 2022