metadata
library_name: transformers
license: mit
base_model: Davlan/afro-xlmr-base
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: afro-xlmr-base-ptmz-MICRO
results: []
afro-xlmr-base-ptmz-MICRO
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: 0.4081
- F1: 0.5444
- Roc Auc: 0.7464
- Accuracy: 0.6143
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: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.2142 | 1.0 | 404 | 0.2462 | 0.2719 | 0.5799 | 0.5465 |
| 0.1698 | 2.0 | 808 | 0.2159 | 0.4521 | 0.6602 | 0.6085 |
| 0.0961 | 3.0 | 1212 | 0.2625 | 0.5019 | 0.7228 | 0.5833 |
| 0.0722 | 4.0 | 1616 | 0.2703 | 0.5072 | 0.7095 | 0.6182 |
| 0.0321 | 5.0 | 2020 | 0.2979 | 0.5040 | 0.7103 | 0.6143 |
| 0.016 | 6.0 | 2424 | 0.3259 | 0.5389 | 0.7293 | 0.6434 |
| 0.0231 | 7.0 | 2828 | 0.3676 | 0.4939 | 0.7046 | 0.6163 |
| 0.0102 | 8.0 | 3232 | 0.3594 | 0.5349 | 0.7327 | 0.6240 |
| 0.0041 | 9.0 | 3636 | 0.4071 | 0.5146 | 0.7212 | 0.6085 |
| 0.0032 | 10.0 | 4040 | 0.4081 | 0.5444 | 0.7464 | 0.6143 |
| 0.002 | 11.0 | 4444 | 0.4213 | 0.5142 | 0.7146 | 0.6202 |
| 0.0016 | 12.0 | 4848 | 0.4291 | 0.5246 | 0.7177 | 0.6357 |
| 0.0013 | 13.0 | 5252 | 0.4394 | 0.5325 | 0.7176 | 0.6376 |
| 0.0026 | 14.0 | 5656 | 0.4440 | 0.5347 | 0.7286 | 0.6357 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0