ABL_trad_2f

mrovejaxd/ABL_trad_2f

ABL_trad_2f is a machine learning model from mrovejaxd. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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

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Hugging Face

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At a glance

Model type: bert
Access: Public
Created: Sep 23, 2024
Updated: Sep 25, 2024
SHA: 7c71ce11

Base models

dccuchile/bert-base-spanish-wwm-cased

Model card

From the Hugging Face model README

ABL_trad_2f

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: 0.6589
Accuracy: 0.7588
F1: 0.7579

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-06
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: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.7767	1.0	4683	0.7649	0.6539	0.6532
0.6994	2.0	9366	0.7013	0.6922	0.6907
0.6426	3.0	14049	0.6683	0.7106	0.7092
0.5984	4.0	18732	0.6440	0.7226	0.7218
0.5734	5.0	23415	0.6329	0.7301	0.7291
0.5274	6.0	28098	0.6229	0.7364	0.7348
0.5195	7.0	32781	0.6193	0.7444	0.7430
0.4795	8.0	37464	0.6272	0.7486	0.7468
0.4548	9.0	42147	0.6228	0.7498	0.7481
0.4284	10.0	46830	0.6356	0.7534	0.7522
0.4068	11.0	51513	0.6494	0.7550	0.7541
0.3788	12.0	56196	0.6589	0.7588	0.7579

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1

Type: bert
Created: Sep 23, 2024
Updated: Sep 25, 2024