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pollen-ner-50 – AI Model by DanielNRU | AlphaNeural AI
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DanielNRU
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pollen-ner-50
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peft
safetensors
generated_from_trainer
DeepPavlov/rubert-base-cased
adapter
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pollen-ner-50
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: 2.3267
Precision: 0.0104
Recall: 0.0482
F1: 0.0172
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
7
2.3267
0.0104
0.0482
0.0172
No log
2.0
14
2.2056
0.0084
0.0321
0.0133
No log
3.0
21
2.0866
0.008
0.0221
0.0117
Framework versions
PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.7.0+cu128
Datasets 3.5.0
Tokenizers 0.21.1
