metadata
base_model: xlm-r-large-script_expand
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: afro-xlmr_large_76L_script
results: []
afro-xlmr_large_76L_script
This model is a fine-tuned version of xlm-r-large-script_expand on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0044
- Accuracy: 0.7963
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: 40
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 320
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1