roberta_base_results_batch_size16

aoiferyan/roberta_base_results_batch_size16

roberta_base_results_batch_size16 is a machine learning model from aoiferyan. 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. --

Downloads · 30 days

6% of all-time downloads

All-time downloads

Public

Parameters

125M

499 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors499 MB · 100%

At a glance

License: mit
Model type: roberta
Access: Public
Created: Aug 22, 2024
Updated: Aug 22, 2024
SHA: 1ce62344

Base models

Model card

From the Hugging Face model README

roberta_base_results_batch_size16

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

Loss: 0.3188
Accuracy: 0.8660
F1: 0.8650

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: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.498	0.5319	100	0.3733	0.8483	0.8433
0.3518	1.0638	200	0.3419	0.8581	0.8577
0.2913	1.5957	300	0.3188	0.8660	0.8650

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Type: roberta
License: mit
Created: Aug 22, 2024
Updated: Aug 22, 2024