ES-ENG-mBERT-sentiment

MinaAlmasi/ES-ENG-mBERT-sentiment

ES-ENG-mBERT-sentiment is a text classification model from MinaAlmasi. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-nc-4.0.

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

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At a glance

Task: Text Classification
Library: transformers
License: cc-by-nc-4.0
Model type: bert
Access: Public
Created: May 16, 2023
Updated: May 22, 2023
SHA: c372213c

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Model card

From the Hugging Face model README

ES-ENG-mBERT-sentiment

This model is a fine-tuned version of bert-base-multilingual-cased on a Custom dataset.

The best model (stopped after 14 epochs) achieves the following results on the evaluation set:

Loss: 0.8110
Accuracy: 0.6307
F1: 0.6298
Precision: 0.6291
Recall: 0.6307

Intended uses & limitations

Note that commercial use with this model is prohibited.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-06
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
1.063	1.0	208	0.9989	0.4731	0.4044	0.4885	0.4731
0.9664	2.0	416	0.9144	0.5262	0.4845	0.5270	0.5262
0.9067	3.0	624	0.8648	0.5896	0.5844	0.5935	0.5896
0.8572	4.0	832	0.8294	0.6065	0.5984	0.6102	0.6065
0.8168	5.0	1040	0.8101	0.6107	0.6092	0.6119	0.6107
0.7897	6.0	1248	0.8213	0.6074	0.6015	0.6018	0.6074
0.7568	7.0	1456	0.7992	0.6194	0.6181	0.6176	0.6194
0.7465	8.0	1664	0.8089	0.6246	0.6183	0.6206	0.6246
0.7223	9.0	1872	0.7988	0.6236	0.6214	0.6207	0.6236
0.7045	10.0	2080	0.8390	0.6165	0.6080	0.6126	0.6165
0.6888	11.0	2288	0.8042	0.6291	0.6260	0.6257	0.6291
0.671	12.0	2496	0.8088	0.6239	0.6212	0.6216	0.6239
0.6543	13.0	2704	0.8104	0.6256	0.6227	0.6216	0.6256
0.6409	14.0	2912	0.8110	0.6307	0.6298	0.6291	0.6307
0.6275	15.0	3120	0.8127	0.6298	0.6292	0.6299	0.6298
0.6176	16.0	3328	0.8334	0.6252	0.6217	0.6206	0.6252
0.6096	17.0	3536	0.8331	0.6256	0.6210	0.6210	0.6256

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: cc-by-nc-4.0
Created: May 16, 2023
Updated: May 22, 2023