metadata
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mbart-large-50-many-to-many-mmt-finetuned-en-to-ta
results: []
mbart-large-50-many-to-many-mmt-finetuned-en-to-ta
This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4647
- Bleu: 11.1468
- Gen Len: 13.55
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: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 5 | 4.5933 | 0.671 | 12.3 |
| No log | 2.0 | 10 | 3.2502 | 1.6986 | 21.4 |
| No log | 3.0 | 15 | 2.8232 | 2.4901 | 11.75 |
| No log | 4.0 | 20 | 2.6240 | 5.2271 | 13.45 |
| No log | 5.0 | 25 | 2.5471 | 3.0107 | 13.45 |
| No log | 6.0 | 30 | 2.5015 | 5.5026 | 13.6 |
| No log | 7.0 | 35 | 2.4671 | 6.4173 | 13.45 |
| No log | 8.0 | 40 | 2.4647 | 11.1468 | 13.55 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1