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---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: lyfi-expert-classification
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. -->
# lyfi-expert-classification
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: 0.0000
- Accuracy: 1.0
## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0583 | 0.25 | 500 | 0.0002 | 1.0 |
| 0.0002 | 0.5 | 1000 | 0.0001 | 1.0 |
| 0.0001 | 0.75 | 1500 | 0.0000 | 1.0 |
| 0.0 | 1.0 | 2000 | 0.0000 | 1.0 |
| 0.0 | 1.25 | 2500 | 0.0000 | 1.0 |
| 0.0 | 1.5 | 3000 | 0.0000 | 1.0 |
| 0.0 | 1.75 | 3500 | 0.0000 | 1.0 |
| 0.0 | 2.0 | 4000 | 0.0000 | 1.0 |
| 0.0 | 2.25 | 4500 | 0.0000 | 1.0 |
| 0.0 | 2.5 | 5000 | 0.0000 | 1.0 |
| 0.0 | 2.75 | 5500 | 0.0000 | 1.0 |
| 0.0 | 3.0 | 6000 | 0.0000 | 1.0 |
### Framework versions
- Transformers 4.36.2
- Pytorch 2.3.0.dev20240212
- Datasets 2.16.1
- Tokenizers 0.15.0
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