---
license: cc-by-nc-4.0
base_model: google-bert/bert-base-multilingual-cased
tags:
- generated_from_trainer
model-index:
- name: bert-base-cased-azerbaijani
  results: []
datasets:
- hajili/azerbaijani-various-corpus
language:
- az
metrics:
- perplexity
---

<!-- 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. -->

# bert-base-cased-azerbaijani

This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7046

We thank Microsoft Accelerating Foundation Models Research Program for supporting our research.
Authors: Mammad Hajili, Duygu Ataman

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step   | Validation Loss |
|:-------------:|:------:|:------:|:---------------:|
| 1.1035        | 0.2500 | 15300  | 0.9753          |
| 0.988         | 0.5000 | 30600  | 0.8985          |
| 0.9276        | 0.7500 | 45900  | 0.8464          |
| 0.8903        | 1.0000 | 61200  | 0.7815          |
| 0.8631        | 1.2500 | 76500  | 0.7778          |
| 0.8435        | 1.5000 | 91800  | 0.7642          |
| 0.8246        | 1.7500 | 107100 | 0.7496          |
| 0.8132        | 2.0000 | 122400 | 0.7372          |
| 0.7999        | 2.2500 | 137700 | 0.7270          |
| 0.7924        | 2.5000 | 153000 | 0.7270          |
| 0.7876        | 2.7500 | 168300 | 0.7178          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1