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npl-transformes-crivera – AI Model by cristian-rivera | AlphaNeural AI
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npl-transformes-crivera
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transformers
safetensors
roberta
text-classification
generated_from_trainer
distilbert/distilroberta-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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npl-transformes-crivera
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: 0.4284
Accuracy: 0.8407
F1: 0.8776
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.5382
1.0893
500
0.4284
0.8407
0.8776
0.3837
2.1786
1000
0.7435
0.8382
0.8893
0.2372
3.2680
1500
0.8933
0.8235
0.88
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cpu
Datasets 3.1.0
Tokenizers 0.20.3
