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mpnet-base-finetuned-AdamW-mnli – AI Model by NicolasLe | AlphaNeural AI
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NicolasLe
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mpnet-base-finetuned-AdamW-mnli
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transformers
pytorch
tensorboard
mpnet
text-classification
generated_from_trainer
glue
model-index
autotrain_compatible
endpoints_compatible
us
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mpnet-base-finetuned-AdamW-mnli
This model is a fine-tuned version of
microsoft/mpnet-base
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.5741
Accuracy: 0.8290
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: 6.7e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 196351
num_epochs: 0.2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6323
0.2
19636
0.5741
0.8290
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu117
Datasets 2.10.0
Tokenizers 0.13.2
