ABL_trad_h

mrovejaxd/ABL_trad_h

ABL_trad_h is a text classification model from mrovejaxd. Use it when you need a label for a piece of text. It is set up for transformers.

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

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At a glance

Task: Text Classification
Library: transformers
Model type: bert
Access: Public
Created: May 24, 2024
Updated: May 24, 2024
SHA: 27b73a29

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Base models

dccuchile/bert-base-spanish-wwm-cased

Model card

From the Hugging Face model README

ABL_trad_h

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.3621
Accuracy: 0.6867
F1: 0.6845

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: 1e-05
train_batch_size: 12
eval_batch_size: 12
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	Accuracy	F1
1.0316	1.0	1000	0.9725	0.5383	0.5182
0.8887	2.0	2000	0.8652	0.5925	0.5901
0.8132	3.0	3000	0.8327	0.6175	0.6143
0.7639	4.0	4000	0.8030	0.6367	0.6356
0.7233	5.0	5000	0.7969	0.6433	0.6408
0.6977	6.0	6000	0.7848	0.6508	0.6500
0.6531	7.0	7000	0.7923	0.66	0.6590
0.6149	8.0	8000	0.7879	0.6683	0.6667
0.5964	9.0	9000	0.7835	0.6708	0.6705
0.5508	10.0	10000	0.8072	0.6725	0.6701
0.5288	11.0	11000	0.8277	0.665	0.6604
0.4828	12.0	12000	0.8436	0.6833	0.6810
0.4457	13.0	13000	0.8679	0.6717	0.6681
0.432	14.0	14000	0.8695	0.6692	0.6679
0.4128	15.0	15000	0.9217	0.6858	0.6833
0.3831	16.0	16000	0.9300	0.6733	0.6714
0.3471	17.0	17000	0.9796	0.675	0.6726
0.3245	18.0	18000	1.0319	0.6742	0.6726
0.3016	19.0	19000	1.0977	0.6733	0.6692
0.2702	20.0	20000	1.1130	0.6667	0.6634
0.2602	21.0	21000	1.1475	0.6758	0.6741
0.2316	22.0	22000	1.2237	0.6725	0.6694
0.2176	23.0	23000	1.2664	0.6775	0.6758
0.2067	24.0	24000	1.3621	0.6867	0.6845

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1

Task: Text Classification
Library: transformers
Type: bert
Created: May 24, 2024
Updated: May 24, 2024