metadata
library_name: transformers
license: mit
base_model: FiveC/BartTay
tags:
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: ViTay-RD
results: []
ViTay-RD
This model is a fine-tuned version of FiveC/BartTay on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1503
- Sacrebleu: 16.4409
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|---|---|---|---|---|
| 0.1995 | 1.0 | 3470 | 0.1644 | 14.7346 |
| 0.1532 | 2.0 | 6940 | 0.1503 | 16.4409 |
| 0.1306 | 3.0 | 10410 | 0.1513 | 16.3485 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1