roberta-base – AI Model by Woodsii | AlphaNeural AI

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Woodsii/
roberta-base

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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roberta-base

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

Loss: 0.7299
Accuracy: 0.6766

Model description

roberta-base fine tuned on the kaggle Contradictory, my dear Watson dataset for that challenge.

Intended uses & limitations

Search params were heavily dependant on my (very very) small budget for training. Furthermore, there r

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: 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0235	1.0	682	0.8367	0.5990
0.7854	2.0	1364	0.7110	0.6741
0.6333	3.0	2046	0.7299	0.6766

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.1
Tokenizers 0.21.1