Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
pollen-ner-300 – AI Model by DanielNRU | AlphaNeural AI
You can deploy this model and start earning money today!
DanielNRU
/
pollen-ner-300
like
0
peft
safetensors
generated_from_trainer
DeepPavlov/rubert-base-cased
adapter
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
pollen-ner-300
This model is a fine-tuned version of
DeepPavlov/rubert-base-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0466
Precision: 0.0
Recall: 0.0
F1: 0.0
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: 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: 10
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
No log
1.0
38
1.0466
0.0
0.0
0.0
No log
2.0
76
1.0066
0.0
0.0
0.0
No log
3.0
114
0.9747
0.0
0.0
0.0
Framework versions
PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.7.0+cu128
Datasets 3.5.0
Tokenizers 0.21.1
