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distilroberta-base-mrpc-glue-siddharta – AI Model by Siddharta314 | AlphaNeural AI
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Siddharta314
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distilroberta-base-mrpc-glue-siddharta
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
glue
distilbert/distilroberta-base
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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distilroberta-base-mrpc-glue-siddharta
This model is a fine-tuned version of
distilroberta-base
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.5807
Accuracy: 0.8480
F1: 0.8908
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.5549
1.09
500
0.6352
0.7917
0.8670
0.3504
2.18
1000
0.5807
0.8480
0.8908
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
