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DanielNRU
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pollen-ner2-150

PEFT
Safetensors
Generated from Trainer
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  1. README.md +13 -13
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -1,6 +1,6 @@
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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:
@@ -8,21 +8,21 @@ metrics:
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  - recall
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  - f1
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  model-index:
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- - name: pollen-ner-150
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  results: []
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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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- # pollen-ner-150
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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: 1.7104
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- - Precision: 0.0045
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- - Recall: 0.0020
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- - F1: 0.0028
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  ## Model description
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@@ -51,11 +51,11 @@ The following hyperparameters were used during training:
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  ### Training results
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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 | 19 | 1.7104 | 0.0045 | 0.0020 | 0.0028 |
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- | No log | 2.0 | 38 | 1.3578 | 0.0 | 0.0 | 0.0 |
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- | No log | 3.0 | 57 | 1.1513 | 0.0 | 0.0 | 0.0 |
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  ### Framework versions
 
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  ---
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  library_name: peft
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+ base_model: DeepPavlov/bert-base-bg-cs-pl-ru-cased
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  - recall
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  - f1
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  model-index:
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+ - name: pollen-ner2-150
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  results: []
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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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+ # pollen-ner2-150
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+ This model is a fine-tuned version of [DeepPavlov/bert-base-bg-cs-pl-ru-cased](https://huggingface.co/DeepPavlov/bert-base-bg-cs-pl-ru-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6448
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+ - Precision: 0.0
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+ - Recall: 0.0
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+ - F1: 0.0
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  ## Model description
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  ### Training results
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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 | 19 | 1.6448 | 0.0 | 0.0 | 0.0 |
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+ | No log | 2.0 | 38 | 1.2916 | 0.0 | 0.0 | 0.0 |
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+ | No log | 3.0 | 57 | 1.1667 | 0.0 | 0.0 | 0.0 |
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  ### Framework versions
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