---
license: apache-2.0
base_model: onlplab/alephbert-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: pls_work
  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. -->

# pls_work

This model is a fine-tuned version of [onlplab/alephbert-base](https://huggingface.co/onlplab/alephbert-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3127
- Accuracy: 0.8789

## 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: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 451  | 0.3080          | 0.8756   |
| 0.3776        | 2.0   | 902  | 0.3127          | 0.8789   |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.4.0
- Datasets 2.19.1
- Tokenizers 0.19.1