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gpt2.CEBaB_confounding.uniform.absa.5-class.seed_42 – AI Model by KarelDO | AlphaNeural AI
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KarelDO
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gpt2.CEBaB_confounding.uniform.absa.5-class.seed_42
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transformers
pytorch
gpt2
generated_from_trainer
en
OpenTable
mit
model-index
text-generation-inference
endpoints_compatible
us
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gpt2.CEBaB_confounding.uniform.absa.5-class.seed_42
This model is a fine-tuned version of
gpt2
on the OpenTable OPENTABLE-ABSA dataset. It achieves the following results on the evaluation set:
Loss: 0.4021
Accuracy: 0.8599
Macro-f1: 0.8561
Weighted-macro-f1: 0.8595
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0
Training results
Framework versions
Transformers 4.18.0
Pytorch 1.10.2+cu102
Datasets 2.5.2
Tokenizers 0.12.1
