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distilbert-base-uncased-finetuned-glue_mrpc – AI Model by nikitakapitan | AlphaNeural AI
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nikitakapitan
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distilbert-base-uncased-finetuned-glue_mrpc
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
glue
distilbert/distilbert-base-uncased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-glue_mrpc
This model is a fine-tuned version of
distilbert-base-uncased
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.6006
Accuracy: 0.7157
F1: 0.8165
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
230
0.6018
0.7034
0.8186
No log
2.0
460
0.6034
0.7059
0.8220
0.6078
3.0
690
0.6006
0.7157
0.8165
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
