---
license: cc-by-4.0
base_model: linhd-postdata/alberti-bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: alberti128b128l
  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. -->

# alberti128b128l

This model is a fine-tuned version of [linhd-postdata/alberti-bert-base-multilingual-cased](https://huggingface.co/linhd-postdata/alberti-bert-base-multilingual-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8217
- Accuracy: 0.6824

## 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: 1e-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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0695        | 1.0   | 1407 | 0.9283          | 0.6367   |
| 0.8637        | 2.0   | 2814 | 0.8396          | 0.6715   |
| 0.7881        | 3.0   | 4221 | 0.8217          | 0.6824   |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1