bert-base-uncased-finetuned-semeval24

andricValdez/bert-base-uncased-finetuned-semeval24

bert-base-uncased-finetuned-semeval24 is a machine learning model from andricValdez. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

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

Downloads · 30 days

0% of all-time downloads

All-time downloads

11.1K

Public

Parameters

109M

32.8 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors438 MB · 100%

At a glance

License: apache-2.0
Model type: bert
Access: Public
Created: Oct 14, 2024
Updated: Oct 14, 2024
SHA: d91903a5

Base models

google-bert/bert-base-uncased

Model card

From the Hugging Face model README

bert-base-uncased-finetuned-semeval24

This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.6813
Accuracy: 0.8254
F1: 0.8237

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: 2e-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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	7485	1.1201	0.7364	0.7265
0.0871	2.0	14970	1.1968	0.7902	0.7860
0.0871	3.0	22455	1.2305	0.8116	0.8111
0.0149	4.0	29940	1.4203	0.8338	0.8319
0.0149	5.0	37425	1.6813	0.8254	0.8237

Framework versions

Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Type: bert
License: apache-2.0
Created: Oct 14, 2024
Updated: Oct 14, 2024