metadata
tags:
- generated_from_trainer
model-index:
- name: sinhala-roman-transformer
results: []
sinhala-roman-transformer
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0001
- Rouge2 Precision: 0.0
- Rouge2 Recall: 0.0
- Rouge2 Fmeasure: 0.0
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- training_steps: 40000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| 0.0007 | 5.1440 | 7500 | 0.0002 | 0.0 | 0.0 | 0.0 |
| 0.0 | 10.2881 | 15000 | 0.0000 | 0.0 | 0.0 | 0.0 |
| 0.0 | 15.4321 | 22500 | 0.0000 | 0.0 | 0.0 | 0.0 |
| 0.0 | 20.5761 | 30000 | 0.0000 | 0.0 | 0.0 | 0.0 |
| 0.0 | 25.7202 | 37500 | 0.0001 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1