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mbti-tf-classifier – AI Model by epinfomax | AlphaNeural AI
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epinfomax
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mbti-tf-classifier
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transformers
safetensors
roberta
text-classification
generated_from_trainer
klue/roberta-large
finetune
text-embeddings-inference
endpoints_compatible
us
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mbti-tf-classifier
This model is a fine-tuned version of
klue/roberta-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7010
Accuracy: 0.5168
F1: 0.6810
Precision: 0.5168
Recall: 0.9983
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.6957
1.0
1164
0.7012
0.5161
0.6808
0.5161
1.0
0.6682
2.0
2328
0.7025
0.5875
0.5501
0.6292
0.4888
0.6589
3.0
3492
0.6757
0.5939
0.5925
0.6145
0.5720
Framework versions
Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.4.2
Tokenizers 0.22.1
