Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
Consc_continuous – AI Model by ajrayman | AlphaNeural AI
You can deploy this model and start earning money today!
ajrayman
/
Consc_continuous
like
0
transformers
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Consc_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: 0.0237
Rmse: 0.1539
Mae: 0.1222
Corr: 0.4602
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Rmse
Mae
Corr
No log
1.0
268
0.0246
0.1569
0.1271
0.4320
0.0351
2.0
536
0.0236
0.1536
0.1224
0.4512
0.0351
3.0
804
0.0237
0.1539
0.1222
0.4602
Framework versions
Transformers 4.44.1
Pytorch 1.11.0
Datasets 2.12.0
Tokenizers 0.19.1
