alberti128b128l

IvashinMaxim/alberti128b128l

alberti128b128l is a text classification model from IvashinMaxim. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-4.0.

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

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At a glance

Task: Text Classification
Library: transformers
License: cc-by-4.0
Model type: bert
Access: Public
Created: May 24, 2024
Updated: May 24, 2024
SHA: 12e52962

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Base models

linhd-postdata/alberti-bert-base-multilingual-cased

Model card

From the Hugging Face model README

alberti128b128l

This model is a fine-tuned version of linhd-postdata/alberti-bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.8217
Accuracy: 0.6824

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: 1e-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0695	1.0	1407	0.9283	0.6367
0.8637	2.0	2814	0.8396	0.6715
0.7881	3.0	4221	0.8217	0.6824

Framework versions

Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
License: cc-by-4.0
Created: May 24, 2024
Updated: May 24, 2024