|
--- |
|
library_name: transformers |
|
license: apache-2.0 |
|
base_model: google-bert/bert-base-multilingual-uncased |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
- precision |
|
- recall |
|
- f1 |
|
model-index: |
|
- name: bert-base-multilingual-uncased-finetuned-keyword |
|
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-uncased-finetuned-keyword |
|
|
|
This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 6.3507 |
|
- Accuracy: 0.0617 |
|
- Precision: 0.0398 |
|
- Recall: 0.0617 |
|
- F1: 0.0393 |
|
|
|
## 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: 2e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
|
| No log | 1.0 | 269 | 6.7306 | 0.0024 | 0.0000 | 0.0024 | 0.0000 | |
|
| 6.7277 | 2.0 | 538 | 6.5913 | 0.0090 | 0.0028 | 0.0090 | 0.0036 | |
|
| 6.7277 | 3.0 | 807 | 6.4561 | 0.0276 | 0.0164 | 0.0276 | 0.0159 | |
|
| 6.4145 | 4.0 | 1076 | 6.3776 | 0.0539 | 0.0374 | 0.0539 | 0.0360 | |
|
| 6.4145 | 5.0 | 1345 | 6.3507 | 0.0617 | 0.0398 | 0.0617 | 0.0393 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.2 |
|
- Pytorch 2.4.0+cu121 |
|
- Datasets 3.0.0 |
|
- Tokenizers 0.19.1 |
|
|
