metadata
base_model: google/pegasus-xsum
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: pegasus-translation-en-ro
results: []
pegasus-translation-en-ro
This model is a fine-tuned version of google/pegasus-xsum on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3972
- Bleu: 8.4567
- Gen Len: 32.314
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 3.876 | 1.0 | 1250 | 3.5435 | 8.0545 | 34.4125 |
| 3.4235 | 2.0 | 2500 | 3.3972 | 8.4567 | 32.314 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2