metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-mr
tags:
- translation
- generated_from_trainer
model-index:
- name: opus-mt-en-mr_en_mr_1
results: []
opus-mt-en-mr_en_mr_1
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-mr on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4423
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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 2048
- 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 |
|---|---|---|---|
| No log | 1.0 | 32 | 0.5390 |
| No log | 1.99 | 64 | 0.4928 |
| No log | 2.99 | 96 | 0.4789 |
| No log | 3.99 | 128 | 0.4641 |
| No log | 4.99 | 160 | 0.4536 |
| No log | 5.98 | 192 | 0.4472 |
| No log | 6.98 | 224 | 0.4437 |
| No log | 7.98 | 256 | 0.4423 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.2