Training complete

README.md

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+---
+base_model: mor40/BulBERT-chitanka-model
+tags:
+- generated_from_trainer
+datasets:
+- bgglue
+model-index:
+- name: BulBERT-exams-5epochs
+  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-exams-5epochs
+
+This model is a fine-tuned version of [mor40/BulBERT-chitanka-model](https://huggingface.co/mor40/BulBERT-chitanka-model) on the bgglue dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.9622
+- Acc: 0.2946
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.06
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Acc    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 1.0207        | 1.0   | 2538  | 1.9309          | 0.3004 |
+| 0.9505        | 2.0   | 5076  | 2.7472          | 0.2750 |
+| 0.9552        | 3.0   | 7614  | 2.7331          | 0.2913 |
+| 0.9126        | 4.0   | 10152 | 2.8254          | 0.2798 |
+| 0.8957        | 5.0   | 12690 | 2.9622          | 0.2946 |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1