distilbert-base-uncased_emotion_ft_learn2pro

learn2pro/distilbert-base-uncased_emotion_ft_learn2pro

distilbert-base-uncased_emotion_ft_learn2pro is a text classification model from learn2pro. 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 24, 2023
Updated: Jun 24, 2023
SHA: 12ea8aef

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Datasets

emotion

Model card

From the Hugging Face model README

distilbert-base-uncased_emotion_ft_learn2pro

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

Loss: 0.1427
Accuracy: 0.937
F1: 0.9373
Precision: 0.9097

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision
0.7939	1.0	250	0.2551	0.9115	0.9095	0.8923
0.2063	2.0	500	0.1629	0.931	0.9310	0.9116
0.1384	3.0	750	0.1491	0.9375	0.9380	0.9073
0.1099	4.0	1000	0.1427	0.937	0.9373	0.9097

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jun 24, 2023
Updated: Jun 24, 2023