roberta-base-myers-briggs-classifier – AI Model by jtatman | AlphaNeural AI

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jtatman/
roberta-base-myers-briggs-classifier

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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roberta-base-myers-briggs-classifier

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

Loss: 0.0887

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: 5e-05
train_batch_size: 8
eval_batch_size: 4
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: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
1.9669	1.0	868	1.9259
1.7412	2.0	1736	1.5301
1.6952	3.0	2604	1.2358
1.4475	4.0	3472	0.9617
0.8587	5.0	4340	0.6455
0.7335	6.0	5208	0.4488
0.7425	7.0	6076	0.2740
0.4392	8.0	6944	0.2000
0.172	9.0	7812	0.1236
0.211	10.0	8680	0.0887

Framework versions

Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.20.3