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Conscientiousness_continuous – AI Model by ajrayman | AlphaNeural AI
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ajrayman
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Conscientiousness_continuous
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transformers
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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Conscientiousness_continuous
This model is a fine-tuned version of
roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1768
Rmse: 0.4205
Mae: 0.3569
Corr: -0.4410
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: 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: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Rmse
Mae
Corr
No log
1.0
1
0.2352
0.4850
0.4016
-0.6156
No log
2.0
2
0.1947
0.4413
0.3720
-0.4594
No log
3.0
3
0.1768
0.4205
0.3569
-0.4410
Framework versions
Transformers 4.51.3
Pytorch 2.4.0
Datasets 2.20.0
Tokenizers 0.21.1
