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pollen-ner-100 – AI Model by DanielNRU | AlphaNeural AI
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DanielNRU
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pollen-ner-100
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peft
safetensors
generated_from_trainer
DeepPavlov/rubert-base-cased
adapter
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pollen-ner-100
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: 2.0799
Precision: 0.0082
Recall: 0.0221
F1: 0.0119
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
13
2.0799
0.0082
0.0221
0.0119
No log
2.0
26
1.8174
0.0079
0.0060
0.0068
No log
3.0
39
1.5629
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
