roberta-base-finetuned-coling24

andricValdez/roberta-base-finetuned-coling24

roberta-base-finetuned-coling24 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 mit.

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

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At a glance

License: mit
Model type: roberta
Access: Public
Created: Nov 15, 2024
Updated: Nov 15, 2024
SHA: 6206146e

Base models

FacebookAI/roberta-base

Model card

From the Hugging Face model README

roberta-base-finetuned-coling24

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

Loss: 0.3002
Accuracy: 0.9599
F1: 0.9594

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: 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	9544	0.0976	0.9654	0.9652
0.0773	2.0	19088	0.1342	0.9580	0.9575
0.0773	3.0	28632	0.2332	0.9514	0.9507
0.0249	4.0	38176	0.2737	0.9566	0.9560
0.0249	5.0	47720	0.3002	0.9599	0.9594

Framework versions

Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Type: roberta
License: mit
Created: Nov 15, 2024
Updated: Nov 15, 2024