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roberta-base-finetuned-mnli – AI Model by Kuaaangwen | AlphaNeural AI
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Kuaaangwen
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roberta-base-finetuned-mnli
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
glue
mit
model-index
autotrain_compatible
endpoints_compatible
us
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roberta-base-finetuned-mnli
This model is a fine-tuned version of
roberta-base
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.3914
Accuracy: 0.8652
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3982
1.0
49088
0.3914
0.8652
Framework versions
Transformers 4.25.1
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
