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distilroberta-base-mrpc-glue-yoel-c – AI Model by YoelCanaza | AlphaNeural AI
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YoelCanaza
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distilroberta-base-mrpc-glue-yoel-c
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilroberta-base-mrpc-glue-yoel-c
This model is a fine-tuned version of
distilroberta-base
on the datasetX dataset. It achieves the following results on the evaluation set:
Loss: 0.6408
Accuracy: 0.8358
F1: 0.8780
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
0.5147
1.09
500
0.7097
0.8211
0.8765
0.3542
2.18
1000
0.6408
0.8358
0.8780
Framework versions
Transformers 4.30.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.13.3
