BERTovoSENTPOS4

Tanor/BERTovoSENTPOS4

BERTovoSENTPOS4 is a text classification model from Tanor. Use it when you need a label for a piece of text. It is set up for transformers.

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

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At a glance

Task: Text Classification
Library: transformers
Model type: roberta
Access: Public
Created: Jul 8, 2023
Updated: Jul 13, 2023
SHA: 9dd3df4e

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Model card

From the Hugging Face model README

BERTovoSENTPOS4

This model is a fine-tuned version of Tanor/BERTicovoSENTPOS4 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0509
F1: 0.5128

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: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 32

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	53	0.0467	0.0
No log	2.0	106	0.0427	0.3529
No log	3.0	159	0.0402	0.5238
No log	4.0	212	0.0504	0.4706
No log	5.0	265	0.0468	0.5405
No log	6.0	318	0.0509	0.5128

Framework versions

Transformers 4.30.2
Pytorch 2.0.1
Datasets 2.13.1
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: roberta
Created: Jul 8, 2023
Updated: Jul 13, 2023