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-wikiann_3epochs
+  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-wikiann_3epochs
+
+This model is a fine-tuned version of [mor40/BulBERT-chitanka-model](https://huggingface.co/mor40/BulBERT-chitanka-model) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2315
+- Precision: 0.7856
+- Recall: 0.8456
+- F1: 0.8145
+- Accuracy: 0.9419
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.2412        | 1.0   | 2030 | 0.2453          | 0.7370    | 0.8098 | 0.7716 | 0.9275   |
+| 0.159         | 2.0   | 4060 | 0.2240          | 0.7746    | 0.8358 | 0.8040 | 0.9393   |
+| 0.1014        | 3.0   | 6090 | 0.2315          | 0.7856    | 0.8456 | 0.8145 | 0.9419   |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1