r-distilbert-base-uncased-otel

TiptopBin/r-distilbert-base-uncased-otel

r-distilbert-base-uncased-otel is a text classification model from TiptopBin. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Jun 30, 2023
Updated: Jun 30, 2023
SHA: 302cd55e

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Datasets

imdb

Model card

From the Hugging Face model README

r-distilbert-base-uncased-otel

This model is a fine-tuned version of distilbert-base-uncased on the imdb dataset. It achieves the following results on the evaluation set:

Loss: 0.2594
Accuracy: 0.9352
F1: 0.9358
Precision: 0.9300
Recall: 0.9415

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: 5e-05
train_batch_size: 32
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.3523	1.0	782	0.1934	0.927	0.9261	0.9402	0.9124
0.1479	2.0	1564	0.2261	0.9291	0.9277	0.9489	0.9074
0.0702	3.0	2346	0.2594	0.9352	0.9358	0.9300	0.9415

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu117
Datasets 2.9.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jun 30, 2023
Updated: Jun 30, 2023