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pollen-ner-1050 – AI Model by DanielNRU | AlphaNeural AI
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DanielNRU
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pollen-ner-1050
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peft
safetensors
generated_from_trainer
DeepPavlov/rubert-base-cased
adapter
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pollen-ner-1050
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: 0.1594
Precision: 0.8285
Recall: 0.9116
F1: 0.8681
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
132
0.1594
0.8285
0.9116
0.8681
No log
2.0
264
0.1633
0.8270
0.9116
0.8672
No log
3.0
396
0.1606
0.8266
0.9096
0.8662
Framework versions
PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.7.0+cu128
Datasets 3.5.0
Tokenizers 0.21.1
