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_lora
results: []
translation_slo_eng_opus-mt-sla-en_lora
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: 1.7472
- Bleu: 34.2191
- Gen Len: 12.4026
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: 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 | Bleu | Gen Len |
---|---|---|---|---|---|
1.8995 | 1.0 | 2500 | 1.7472 | 34.2191 | 12.4026 |
Framework versions
- PEFT 0.11.1
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1