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nlpClassifier – AI Model by Davalejo | AlphaNeural AI
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Davalejo
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nlpClassifier
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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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nlpClassifier
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: 0.8137
Accuracy: 0.8382
F1: 0.8874
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.4111
1.0893
500
0.8351
0.8260
0.8743
0.2926
2.1786
1000
0.8137
0.8382
0.8874
0.1521
3.2680
1500
0.9311
0.8333
0.8851
Framework versions
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 3.0.0
Tokenizers 0.19.1
