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finetuning-xlnet-base-cased-on-sst2 – AI Model by Ibrahim-Alam | AlphaNeural AI
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Ibrahim-Alam
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finetuning-xlnet-base-cased-on-sst2
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transformers
pytorch
tensorboard
xlnet
text-classification
generated_from_trainer
sst2
mit
model-index
autotrain_compatible
endpoints_compatible
us
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finetuning-xlnet-base-cased-on-sst2
This model is a fine-tuned version of
xlnet-base-cased
on the sst2 dataset. It achieves the following results on the evaluation set:
Loss: 0.2275
Accuracy: 0.9358
F1: 0.9374
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: 1
Training results
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
