Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
output – AI Model by calculito | AlphaNeural AI
You can deploy this model and start earning money today!
calculito
/
output
like
0
transformers
safetensors
albert
token-classification
generated_from_trainer
albert/albert-base-v2
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
output
This model is a fine-tuned version of
albert-base-v2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
Overall Precision: 1.0
Overall Recall: 1.0
Overall F1: 1.0
Overall Accuracy: 1.0
D622 F1: 1.0
O Isin F1: 1.0
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Overall Precision
Overall Recall
Overall F1
Overall Accuracy
D622 F1
O Isin F1
0.0
1.0
461
0.0000
1.0
1.0
1.0
1.0
1.0
1.0
Framework versions
Transformers 4.43.3
Pytorch 2.4.0
Datasets 2.20.0
Tokenizers 0.19.1
