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distilroberta-base-mrpc-glue-keith-alec – AI Model by aleckeithc | AlphaNeural AI
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aleckeithc
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distilroberta-base-mrpc-glue-keith-alec
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
glue
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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distilroberta-base-mrpc-glue-keith-alec
This model is a fine-tuned version of
distilroberta-base
on the glue and the mrpc datasets. It achieves the following results on the evaluation set:
Loss: 0.6392
Accuracy: 0.8529
F1: 0.8958
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: 5e-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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.3596
1.09
500
1.1183
0.8309
0.8848
0.3241
2.18
1000
0.6392
0.8529
0.8958
0.1673
3.27
1500
0.7843
0.8431
0.8869
0.0807
4.36
2000
0.9659
0.8456
0.8916
Framework versions
Transformers 4.29.0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.13.3
