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Training in progress, epoch 1

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README.md ADDED
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+ ---
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+ library_name: peft
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+ base_model: DeepPavlov/rubert-base-cased
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - precision
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+ - recall
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+ - f1
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+ model-index:
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+ - name: pollen-ner-500
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # pollen-ner-500
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+
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+ This model is a fine-tuned version of [DeepPavlov/rubert-base-cased](https://huggingface.co/DeepPavlov/rubert-base-cased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3313
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+ - Precision: 0.6161
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+ - Recall: 0.7992
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+ - F1: 0.6958
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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+ | No log | 1.0 | 63 | 0.3821 | 0.5504 | 0.7450 | 0.6331 |
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+ | No log | 2.0 | 126 | 0.3790 | 0.5526 | 0.7590 | 0.6396 |
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+ | No log | 3.0 | 189 | 0.3655 | 0.5687 | 0.7651 | 0.6524 |
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+ | No log | 4.0 | 252 | 0.3649 | 0.5714 | 0.7791 | 0.6593 |
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+ | No log | 5.0 | 315 | 0.3379 | 0.6071 | 0.7851 | 0.6848 |
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+ | No log | 6.0 | 378 | 0.3412 | 0.6015 | 0.7912 | 0.6834 |
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+ | No log | 7.0 | 441 | 0.3354 | 0.6071 | 0.7912 | 0.6870 |
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+ | 0.6175 | 8.0 | 504 | 0.3355 | 0.6070 | 0.7972 | 0.6892 |
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+ | 0.6175 | 9.0 | 567 | 0.3321 | 0.6142 | 0.7992 | 0.6946 |
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+ | 0.6175 | 10.0 | 630 | 0.3313 | 0.6161 | 0.7992 | 0.6958 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.15.2
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+ - Transformers 4.51.3
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+ - Pytorch 2.7.0+cu128
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+ - Datasets 3.5.0
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+ - Tokenizers 0.21.1
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