metadata
license: mit
base_model: Davlan/afro-xlmr-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: angela_diacritics_punc_eval
results: []
angela_diacritics_punc_eval
This model is a fine-tuned version of Davlan/afro-xlmr-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2180
- Precision: 0.3758
- Recall: 0.2049
- F1: 0.2652
- Accuracy: 0.9384
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: 16
- eval_batch_size: 8
- 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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.2306 | 1.0 | 1283 | 0.1942 | 0.3818 | 0.0809 | 0.1335 | 0.9412 |
| 0.2083 | 2.0 | 2566 | 0.1989 | 0.4041 | 0.0909 | 0.1485 | 0.9419 |
| 0.1903 | 3.0 | 3849 | 0.1960 | 0.4151 | 0.1530 | 0.2236 | 0.9420 |
| 0.1696 | 4.0 | 5132 | 0.2051 | 0.3738 | 0.2140 | 0.2722 | 0.9383 |
| 0.1454 | 5.0 | 6415 | 0.2180 | 0.3758 | 0.2049 | 0.2652 | 0.9384 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3