metadata
tags:
- generated_from_trainer
model-index:
- name: lg-en
results: []
lg-en
This model is a fine-tuned version of AI-Lab-Makerere/lg_en on an unknown dataset.
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Score | Counts | Totals | Precisions | Bp | Sys Len | Ref Len |
|---|---|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 3 | 2.3015 | 0.0 | [2, 0, 0, 0] | [2, 0, 0, 0] | [100.0, 0.0, 0.0, 0.0] | 1.0 | 2 | 2 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1