Analisis-sentimientos-xml-roberta-2 – AI Model by raulgdp | AlphaNeural AI

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raulgdp/
Analisis-sentimientos-xml-roberta-2

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text-classification

generated_from_trainer

cardiffnlp/twitter-xlm-roberta-base-sentiment

autotrain_compatible

endpoints_compatible

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Analisis-sentimientos-xml-roberta-2

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

Loss: 0.4219
Rmse: 0.4262

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
0.2287	1.0	642	0.2755	0.5435
0.1602	2.0	1284	0.2480	0.5064
0.1118	3.0	1926	0.3581	0.4811
0.0756	4.0	2568	0.2588	0.4545
0.0523	5.0	3210	0.3172	0.4370
0.0427	6.0	3852	0.3430	0.4388
0.0352	7.0	4494	0.3816	0.4243
0.0314	8.0	5136	0.3776	0.4206
0.0292	9.0	5778	0.4168	0.4266
0.0272	10.0	6420	0.4219	0.4262

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1