---
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-4
  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-4

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: 1.4127

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 8.5841        | 0.4728 | 100  | 2.6105          |
| 1.9725        | 0.9456 | 200  | 1.6720          |
| 1.535         | 1.4161 | 300  | 1.5957          |
| 1.4496        | 1.8889 | 400  | 1.5590          |
| 1.3806        | 2.3593 | 500  | 1.4973          |
| 1.3533        | 2.8322 | 600  | 1.4804          |
| 1.3           | 3.3026 | 700  | 1.4363          |
| 1.3135        | 3.7754 | 800  | 1.4593          |
| 1.2523        | 4.2459 | 900  | 1.4570          |
| 1.255         | 4.7187 | 1000 | 1.4659          |
| 1.2291        | 5.1891 | 1100 | 1.4127          |
| 1.2041        | 5.6619 | 1200 | 1.4866          |
| 1.1898        | 6.1324 | 1300 | 1.4525          |
| 1.1729        | 6.6052 | 1400 | 1.4438          |
| 1.1742        | 7.0757 | 1500 | 1.4242          |
| 1.1645        | 7.5485 | 1600 | 1.4479          |
| 1.1165        | 8.0189 | 1700 | 1.4881          |
| 1.1283        | 8.4917 | 1800 | 1.4369          |
| 1.1334        | 8.9645 | 1900 | 1.4631          |
| 1.1081        | 9.4350 | 2000 | 1.4551          |
| 1.1344        | 9.9078 | 2100 | 1.4553          |


### Framework versions

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