fine_tuning_roberta_model – AI Model by YuHannn | AlphaNeural AI

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YuHannn/
fine_tuning_roberta_model

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text-classification

generated_from_trainer

cardiffnlp/twitter-roberta-base-sentiment-latest

autotrain_compatible

endpoints_compatible

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fine_tuning_roberta_model

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

Loss: 1.1741
Rmse: 0.6882

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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rmse
0.5085	1.0	5	0.6268	0.7255
0.2562	2.0	10	0.6686	0.7255
0.1496	3.0	15	0.6989	0.5620
0.0934	4.0	20	1.0044	0.6882
0.1224	5.0	25	1.1798	0.7255
0.0561	6.0	30	1.1906	0.6882
0.0207	7.0	35	1.1774	0.6882
0.0417	8.0	40	1.1551	0.6882
0.0131	9.0	45	1.1628	0.6882
0.0134	10.0	50	1.1741	0.6882

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cpu
Datasets 2.14.6
Tokenizers 0.14.1