Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
synthetic – AI Model by olegaris256 | AlphaNeural AI
You can deploy this model and start earning money today!
olegaris256
/
synthetic
like
0
transformers
tensorboard
safetensors
bert
token-classification
generated_from_trainer
BAAI/bge-small-en-v1.5
finetune
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
synthetic
This model is a fine-tuned version of
BAAI/bge-small-en-v1.5
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1229
Precision: 0.9283
Recall: 0.9154
F1: 0.9218
Accuracy: 0.9814
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: 5.373713206635395e-05
train_batch_size: 4
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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.0166
1.0
2503
0.1270
0.9181
0.8955
0.9067
0.9796
0.0106
2.0
5006
0.1287
0.9232
0.9121
0.9176
0.9804
0.0141
3.0
7509
0.1229
0.9283
0.9154
0.9218
0.9814
Framework versions
Transformers 4.50.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
