---
library_name: transformers
license: apache-2.0
base_model: onlplab/alephbert-base
tags:
- generated_from_trainer
model-index:
- name: alephbert-base-finetuned-DSS-maskedLM
  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. -->

# alephbert-base-finetuned-DSS-maskedLM

This model is a fine-tuned version of [onlplab/alephbert-base](https://huggingface.co/onlplab/alephbert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.2593

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 41   | 4.6030          |
| No log        | 2.0   | 82   | 4.4223          |
| 4.6114        | 3.0   | 123  | 4.3730          |
| 4.6114        | 4.0   | 164  | 4.3006          |
| 4.3175        | 5.0   | 205  | 4.3046          |
| 4.3175        | 6.0   | 246  | 4.2191          |
| 4.3175        | 7.0   | 287  | 4.3107          |
| 4.1903        | 8.0   | 328  | 4.2090          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1