metadata
library_name: peft
tags:
- generated_from_trainer
datasets:
- mt_eng_vietnamese
metrics:
- bleu
base_model: facebook/mbart-large-50-many-to-many-mmt
model-index:
- name: mBart50-tl-en2vi-lora
results: []
mBart50-tl-en2vi-lora
This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on the mt_eng_vietnamese dataset. It achieves the following results on the evaluation set:
- Loss: 6.6172
- Bleu: 34.4063
- Gen Len: 32.7321
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: 0.0005
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 6.9999 | 0.21 | 2000 | 6.6880 | 32.0922 | 32.1749 |
| 6.9674 | 0.42 | 4000 | 6.6544 | 32.7344 | 32.7289 |
| 6.9357 | 0.63 | 6000 | 6.6310 | 34.0802 | 32.4878 |
| 6.9162 | 0.84 | 8000 | 6.6172 | 34.4063 | 32.7321 |
Framework versions
- PEFT 0.9.1.dev0
- Transformers 4.39.0.dev0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2