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ibert-roberta-base-finetuned-mrpc – AI Model by VitaliiVrublevskyi | AlphaNeural AI
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VitaliiVrublevskyi
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ibert-roberta-base-finetuned-mrpc
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transformers
pytorch
tensorboard
ibert
text-classification
generated_from_trainer
glue
model-index
autotrain_compatible
endpoints_compatible
us
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ibert-roberta-base-finetuned-mrpc
This model is a fine-tuned version of
kssteven/ibert-roberta-base
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.3775
Accuracy: 0.8578
F1: 0.8953
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: 24
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
115
0.4043
0.8309
0.8821
No log
2.0
230
0.3885
0.8456
0.8927
No log
3.0
345
0.3775
0.8578
0.8953
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
