distilbert-go-emotions – AI Model by tasinhoque | AlphaNeural AI

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tasinhoque/
distilbert-go-emotions

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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distilbert-go-emotions

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

Loss: 0.0907
Accuracy: 0.4287
Precision: 0.4504
Recall: 0.5003
F1: 0.4702

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: 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: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	340	0.1102	0.4125	0.2946	0.2139	0.2014
0.1347	2.0	680	0.0890	0.3900	0.4252	0.4627	0.4262
0.1347	3.0	1020	0.0860	0.4097	0.4344	0.4992	0.4578
0.0771	4.0	1360	0.0864	0.4298	0.4561	0.4974	0.4701
0.0771	5.0	1700	0.0891	0.4266	0.4522	0.4992	0.4703
0.0617	6.0	2040	0.0907	0.4287	0.4504	0.5003	0.4702

Framework versions

Transformers 4.20.1
Pytorch 1.12.0
Datasets 2.1.0
Tokenizers 0.12.1