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distilroberta-base-mrpc-glue-eea – AI Model by EmmanuelEA | AlphaNeural AI
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EmmanuelEA
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distilroberta-base-mrpc-glue-eea
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
distilbert/distilroberta-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilroberta-base-mrpc-glue-eea
This model is a fine-tuned version of
distilroberta-base
on the datasetX dataset. It achieves the following results on the evaluation set:
Loss: 0.3948
Accuracy: 0.8456
F1: 0.8889
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
0.5107
1.0893
500
0.3948
0.8456
0.8889
0.312
2.1786
1000
0.6117
0.8725
0.9075
Framework versions
Transformers 4.44.2
Pytorch 2.5.0+cu121
Tokenizers 0.19.1
