metadata
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: lyfi-expert-classification
results: []
lyfi-expert-classification
This model is a fine-tuned version of 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