metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: Helsinki-NLP/opus-mt-sla-en
metrics:
- bleu
model-index:
- name: translation_slo_eng_opus-mt-sla-en_loha
results: []
translation_slo_eng_opus-mt-sla-en_loha
This model is a fine-tuned version of Helsinki-NLP/opus-mt-sla-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6782
- Bleu: 34.6439
- Gen Len: 12.7435
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 400
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.8661 | 0.01 | 50 | 2.7221 | 34.6147 | 12.741 |
| 2.8564 | 0.02 | 100 | 2.7133 | 34.6112 | 12.7457 |
| 3.028 | 0.03 | 150 | 2.7043 | 34.6086 | 12.7529 |
| 2.8351 | 0.04 | 200 | 2.6960 | 34.612 | 12.7535 |
| 2.8428 | 0.05 | 250 | 2.6886 | 34.6251 | 12.7459 |
| 2.9846 | 0.06 | 300 | 2.6830 | 34.6364 | 12.7426 |
| 2.8809 | 0.07 | 350 | 2.6796 | 34.6433 | 12.7407 |
| 2.9782 | 0.08 | 400 | 2.6782 | 34.6439 | 12.7435 |
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.40.1
- Pytorch 2.1.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1