metadata
license: apache-2.0
base_model: drewcurran/translation_model
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: translation_model
results: []
translation_model
This model is a fine-tuned version of drewcurran/translation_model on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9529
- Bleu: 1.2244
- Gen Len: 18.0659
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 |
|---|---|---|---|---|---|
| 2.5538 | 1.0 | 4674 | 2.2471 | 0.7389 | 18.1428 |
| 2.4606 | 2.0 | 9348 | 2.1615 | 0.8787 | 18.1105 |
| 2.3877 | 3.0 | 14022 | 2.0981 | 0.963 | 18.0917 |
| 2.3433 | 4.0 | 18696 | 2.0538 | 1.0353 | 18.0855 |
| 2.2914 | 5.0 | 23370 | 2.0186 | 1.0902 | 18.0692 |
| 2.2565 | 6.0 | 28044 | 1.9939 | 1.1566 | 18.0789 |
| 2.2539 | 7.0 | 32718 | 1.9756 | 1.1935 | 18.0686 |
| 2.2262 | 8.0 | 37392 | 1.9628 | 1.1998 | 18.0759 |
| 2.2097 | 9.0 | 42066 | 1.9556 | 1.2209 | 18.0706 |
| 2.2021 | 10.0 | 46740 | 1.9529 | 1.2244 | 18.0659 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1