metadata
license: cc-by-nc-4.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: hi_do_epoch_10
results: []
hi_do_epoch_10
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1901
- Bleu: 40.8348
- Gen Len: 40.7269
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 398 | 2.0113 | 22.4938 | 38.9396 |
| 2.9232 | 2.0 | 796 | 1.6090 | 30.6633 | 39.8099 |
| 1.7621 | 3.0 | 1194 | 1.4372 | 34.6834 | 40.3153 |
| 1.4831 | 4.0 | 1592 | 1.3466 | 36.6566 | 40.6136 |
| 1.4831 | 5.0 | 1990 | 1.2808 | 38.344 | 40.7986 |
| 1.3346 | 6.0 | 2388 | 1.2338 | 39.2976 | 40.6419 |
| 1.233 | 7.0 | 2786 | 1.2122 | 40.1246 | 40.6923 |
| 1.1768 | 8.0 | 3184 | 1.1983 | 40.5123 | 40.7093 |
| 1.1437 | 9.0 | 3582 | 1.1935 | 40.8092 | 40.815 |
| 1.1437 | 10.0 | 3980 | 1.1901 | 40.8348 | 40.7269 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.10.1+cu113
- Datasets 2.8.0
- Tokenizers 0.13.2