roberta-name-change-classification – AI Model by Bryan032 | AlphaNeural AI

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Bryan032/
roberta-name-change-classification

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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results

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1742

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: 0.0001
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 50
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	6	0.6903
0.6899	2.0	12	0.6821
0.6899	3.0	18	0.6470
0.6734	4.0	24	0.3460
0.4375	5.0	30	0.3209
0.4375	6.0	36	0.2490
0.1785	7.0	42	0.2996
0.1785	8.0	48	0.1742
0.2742	9.0	54	0.3394
0.1365	10.0	60	0.3391

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0