Training complete

README.md

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+---
+base_model: mor40/BulBERT-chitanka-model
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: BulBERT-ner-bsnlp
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# BulBERT-ner-bsnlp
+
+This model is a fine-tuned version of [mor40/BulBERT-chitanka-model](https://huggingface.co/mor40/BulBERT-chitanka-model) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1196
+- Precision: 0.8460
+- Recall: 0.8804
+- F1: 0.8628
+- Accuracy: 0.9680
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 91   | 0.1231          | 0.8234    | 0.8792 | 0.8504 | 0.9655   |
+| No log        | 2.0   | 182  | 0.1214          | 0.8296    | 0.8874 | 0.8576 | 0.9671   |
+| No log        | 3.0   | 273  | 0.1196          | 0.8460    | 0.8804 | 0.8628 | 0.9680   |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3