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tonitt97/
robertuito-allData-finetuned-class

Name: robertuito-allData-finetuned-class
Availability: InStock

generated_from_trainer

pysentimiento/robertuito-base-uncased

finetune

autotrain_compatible

endpoints_compatible

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robertuito-allData-finetuned-class

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

Loss: 0.6512
F1: 0.7470
Recall: 0.7524
Accuracy: 0.7677

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: 2.989919952299843e-05
train_batch_size: 64
eval_batch_size: 32
seed: 15
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Recall	Accuracy
No log	1.0	103	0.6829	0.7074	0.7162	0.7399
No log	2.0	206	0.6096	0.7326	0.7250	0.7632
No log	3.0	309	0.6512	0.7470	0.7524	0.7677

Framework versions

Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0

tonitt97/robertuito-allData-finetuned-class

robertuito-allData-finetuned-class

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tonitt97/
robertuito-allData-finetuned-class