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opt-125m-qqp – AI Model by Cheng98 | AlphaNeural AI
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Cheng98
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opt-125m-qqp
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transformers
pytorch
opt
text-classification
generated_from_trainer
en
glue
facebook/opt-125m
finetune
other
model-index
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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opt-125m-qqp
This model is a fine-tuned version of
facebook/opt-125m
on the GLUE QQP dataset. It achieves the following results on the evaluation set:
Loss: 0.6920
Accuracy: 0.9015
F1: 0.8674
Combined Score: 0.8844
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: 8
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 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.18.0
Tokenizers 0.13.3
