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roberta-base-bne-finetuned-TripAdvisorDomainAdaptation-finetuned-e2-RestMex2023-polaridadDA-V3 – AI Model by vg055 | AlphaNeural AI
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vg055
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roberta-base-bne-finetuned-TripAdvisorDomainAdaptation-finetuned-e2-RestMex2023-polaridadDA-V3
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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roberta-base-bne-finetuned-TripAdvisorDomainAdaptation-finetuned-e2-RestMex2023-polaridadDA-V3
This model is a fine-tuned version of
vg055/roberta-base-bne-finetuned-TripAdvisorDomainAdaptation
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6583
F1: 0.7400
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.5919
1.0
17166
0.5992
0.7388
0.3925
2.0
34332
0.6583
0.7400
Framework versions
Transformers 4.28.0
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
