---
library_name: transformers
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
model-index:
- name: bert-base-multilingual-cased-finetuned-yiddish-experiment-2
  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. -->

# bert-base-multilingual-cased-finetuned-yiddish-experiment-2

This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7107

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 9.1219        | 0.4728 | 100  | 1.3974          |
| 1.0378        | 0.9456 | 200  | 0.8499          |
| 0.773         | 1.4161 | 300  | 0.7918          |
| 0.729         | 1.8889 | 400  | 0.7863          |
| 0.6948        | 2.3593 | 500  | 0.7451          |
| 0.6802        | 2.8322 | 600  | 0.7354          |
| 0.6525        | 3.3026 | 700  | 0.7210          |
| 0.6603        | 3.7754 | 800  | 0.7329          |
| 0.6293        | 4.2459 | 900  | 0.7321          |
| 0.6292        | 4.7187 | 1000 | 0.7441          |
| 0.6155        | 5.1891 | 1100 | 0.7107          |
| 0.6025        | 5.6619 | 1200 | 0.7421          |
| 0.5976        | 6.1324 | 1300 | 0.7268          |
| 0.5855        | 6.6052 | 1400 | 0.7327          |
| 0.5873        | 7.0757 | 1500 | 0.7172          |
| 0.5826        | 7.5485 | 1600 | 0.7205          |
| 0.5594        | 8.0189 | 1700 | 0.7591          |
| 0.5671        | 8.4917 | 1800 | 0.7320          |
| 0.569         | 8.9645 | 1900 | 0.7419          |
| 0.5558        | 9.4350 | 2000 | 0.7290          |
| 0.5696        | 9.9078 | 2100 | 0.7328          |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.21.0