FNST_trad_2f

mrovejaxd/FNST_trad_2f

FNST_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. --

Downloads · 30 days

11% of all-time downloads

All-time downloads

Public

Parameters

110M

439 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors439 MB · 100%

At a glance

Model type: bert
Access: Public
Created: Sep 25, 2024
Updated: Sep 25, 2024
SHA: ec715d79

Base models

dccuchile/bert-base-spanish-wwm-cased

Model card

From the Hugging Face model README

FNST_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: 0.8298
Accuracy: 0.6851
F1: 0.6776

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
0.9535	1.0	3125	0.9298	0.5950	0.5843
0.8929	2.0	6250	0.8737	0.6295	0.6198
0.8234	3.0	9375	0.8473	0.6410	0.6317
0.7857	4.0	12500	0.8264	0.6522	0.6455
0.7489	5.0	15625	0.8219	0.6506	0.6439
0.7072	6.0	18750	0.8138	0.6601	0.6546
0.7025	7.0	21875	0.8109	0.6641	0.6607
0.6646	8.0	25000	0.8130	0.6698	0.6643
0.6557	9.0	28125	0.8014	0.6745	0.6679
0.6114	10.0	31250	0.8153	0.6745	0.6681
0.6065	11.0	34375	0.8258	0.6815	0.6738
0.5733	12.0	37500	0.8298	0.6851	0.6776

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1

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