Training complete

README.md

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+---
+base_model: mor40/BulBERT-chitanka-model
+tags:
+- generated_from_trainer
+datasets:
+- bgglue
+metrics:
+- accuracy
+model-index:
+- name: BulBERT-ct21-5pochs
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: bgglue
+      type: bgglue
+      config: ct21t1
+      split: validation
+      args: ct21t1
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.84
+---
+
+<!-- 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-ct21-5pochs
+
+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: 1.0051
+- Accuracy: 0.84
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 163  | 0.4891          | 0.7743   |
+| No log        | 2.0   | 326  | 0.5475          | 0.8257   |
+| No log        | 3.0   | 489  | 0.7889          | 0.82     |
+| 0.288         | 4.0   | 652  | 0.9438          | 0.8286   |
+| 0.288         | 5.0   | 815  | 1.0051          | 0.84     |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1