---
base_model: mor40/BulBERT-finetuned-cinexio
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: BulBERT-cinexio-5pochs
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# BulBERT-cinexio-5pochs

This model is a fine-tuned version of [mor40/BulBERT-finetuned-cinexio](https://huggingface.co/mor40/BulBERT-finetuned-cinexio) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1071
- Accuracy: 0.97

## 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: 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   | 388  | 0.2160          | 0.92     |
| 0.244         | 2.0   | 776  | 0.1136          | 0.95     |
| 0.2092        | 3.0   | 1164 | 0.1366          | 0.95     |
| 0.1607        | 4.0   | 1552 | 0.1228          | 0.94     |
| 0.1607        | 5.0   | 1940 | 0.1071          | 0.97     |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1