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roberta-base-finetuned-mnli-mm – AI Model by ArtoriasXV | AlphaNeural AI

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ArtoriasXV/
roberta-base-finetuned-mnli-mm

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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roberta-base-finetuned-mnli-mm

This model is a fine-tuned version of roberta-base on the glue dataset. It achieves the following results on the evaluation set:

eval_loss: 0.4062
eval_accuracy: 0.8457
eval_runtime: 33.2523
eval_samples_per_second: 295.679
eval_steps_per_second: 4.631
epoch: 1.0
step: 12272

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: 3.0719015844102515e-06
train_batch_size: 32
eval_batch_size: 64
seed: 24
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Framework versions

Transformers 4.16.2
Pytorch 2.1.0+cu121
Datasets 1.16.1
Tokenizers 0.15.2