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platzi-distilroberta-base-mrpc-glue-carlos-martinez-miranda – AI Model by CarlosMM24 | AlphaNeural AI
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CarlosMM24
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platzi-distilroberta-base-mrpc-glue-carlos-martinez-miranda
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transformers
safetensors
roberta
text-classification
generated_from_trainer
distilbert/distilroberta-base
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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platzi-distilroberta-base-mrpc-glue-carlos-martinez-miranda
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: 0.5462
Accuracy: 0.8358
F1: 0.8822
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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.5231
1.0893
500
0.5463
0.8358
0.8818
0.3355
2.1786
1000
0.7328
0.8407
0.8841
Framework versions
Transformers 5.0.0
Pytorch 2.9.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
