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pollen_re2 – AI Model by DanielNRU | AlphaNeural AI
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DanielNRU
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pollen_re2
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transformers
safetensors
bert
text-classification
generated_from_trainer
DeepPavlov/rubert-base-cased
finetune
autotrain_compatible
endpoints_compatible
us
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pollen-re-model
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: 0.5235
F1: 0.8505
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
F1
No log
1.0
422
0.6813
0.3148
0.6396
2.0
844
0.6553
0.4260
0.6787
3.0
1266
0.5011
0.5496
0.4929
4.0
1688
0.5218
0.6561
0.3969
5.0
2110
0.5235
0.8505
Framework versions
Transformers 4.51.3
Pytorch 2.7.0+cu128
Datasets 3.5.0
Tokenizers 0.21.1
