|
--- |
|
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 |
|
|
