---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: BERT_SPARQL
  results: []
---

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

This model is a fine-tuned version of [razent/spbert-mlm-base](https://huggingface.co/razent/spbert-mlm-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3088
- Accuracy: 0.9527

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.9512        | 0.43  | 1000 | 1.3428          | 0.6989   |
| 1.0044        | 0.85  | 2000 | 0.5995          | 0.9014   |
| 0.5483        | 1.28  | 3000 | 0.4462          | 0.9309   |
| 0.436         | 1.7   | 4000 | 0.4086          | 0.9377   |
| 0.3764        | 2.13  | 5000 | 0.3567          | 0.9463   |
| 0.337         | 2.56  | 6000 | 0.3343          | 0.9496   |
| 0.3115        | 2.98  | 7000 | 0.3089          | 0.9525   |


### Framework versions

- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3