transformers pytorch bert text-classification generated_from_trainer dataset:bgglue base_model:mor40/BulBERT-finetuned-cinexio base_model:finetune:mor40/BulBERT-finetuned-cinexio model-index autotrain_compatible endpoints_compatible region:us
---
base_model: mor40/BulBERT-finetuned-cinexio
datasets:
- bgglue
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: BulBERT-cinexio-5epochs
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: bgglue
      type: bgglue
      config: cinexio
      split: validation
      args: cinexio
    metrics:
    - type: accuracy
      value: 0.6165228113440198
      name: Accuracy
---

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# BulBERT-cinexio-5epochs

This model is a fine-tuned version of [mor40/BulBERT-finetuned-cinexio](https://huggingface.co/mor40/BulBERT-finetuned-cinexio) on the bgglue dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1630
- Accuracy: 0.6165

## 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: 3e-05
- train_batch_size: 128
- eval_batch_size: 128
- 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   | 64   | 1.2512          | 0.6005   |
| No log        | 2.0   | 128  | 1.1742          | 0.6128   |
| No log        | 3.0   | 192  | 1.1584          | 0.6252   |
| No log        | 4.0   | 256  | 1.1562          | 0.6202   |
| No log        | 5.0   | 320  | 1.1630          | 0.6165   |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
