Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
bert_affinity_davis – AI Model by DaInternet12 | AlphaNeural AI
You can deploy this model and start earning money today!
DaInternet12
/
bert_affinity_davis
like
0
transformers
safetensors
generated_from_trainer
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
results
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4819
Mse: 0.4819
Mae: 0.4031
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: 8
seed: 42
optimizer: Use OptimizerNames.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: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Mse
Mae
0.5617
1.1416
500
0.5514
0.5514
0.5555
0.5405
2.2831
1000
0.5391
0.5391
0.5233
0.822
3.4247
1500
0.5192
0.5192
0.4893
0.4446
4.5662
2000
0.5272
0.5272
0.4664
Framework versions
Transformers 4.48.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
