roberta-base-go-emotions – AI Model by Prasadrao | AlphaNeural AI

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Prasadrao/
roberta-base-go-emotions

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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roberta-base-go-emotions

This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1074
Accuracy: 0.4528
Precision: 0.5044
Recall: 0.4825
F1: 0.4837

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: 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	679	0.0903	0.4550	0.5113	0.4795	0.4741
0.0587	2.0	1358	0.0942	0.4502	0.5277	0.4725	0.4779
0.0587	3.0	2037	0.1011	0.4467	0.5084	0.5025	0.4957
0.0403	4.0	2716	0.1065	0.4609	0.5054	0.4780	0.4818
0.0403	5.0	3395	0.1074	0.4528	0.5044	0.4825	0.4837

Framework versions

Transformers 4.37.0
Pytorch 2.1.2
Datasets 2.15.0
Tokenizers 0.15.1