File size: 1,885 Bytes
6f1610b f7ffa90 6f1610b f7ffa90 6f1610b f7ffa90 6f1610b f7ffa90 6f1610b f7ffa90 6f1610b f7ffa90 6f1610b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 |
---
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-tc-bible-big-mul-mul
tags:
- generated_from_trainer
model-index:
- name: opus-ph-ph
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# opus-ph-ph
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-bible-big-mul-mul](https://huggingface.co/Helsinki-NLP/opus-mt-tc-bible-big-mul-mul) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7528
- Bleu Global: 28.4879
## 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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu Global |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|
| 0.6364 | 1.0 | 1268 | 1.9412 | 25.9524 |
| 0.1826 | 2.0 | 2536 | 2.2076 | 25.5630 |
| 0.1035 | 3.0 | 3804 | 2.3956 | 28.8255 |
| 0.06 | 4.0 | 5072 | 2.5487 | 28.1852 |
| 0.0436 | 5.0 | 6340 | 2.6189 | 28.7365 |
| 0.0298 | 6.0 | 7608 | 2.7528 | 28.4879 |
### Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
|