metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: TestHelsinkiJpEn
results: []
TestHelsinkiJpEn
This model is a fine-tuned version of Helsinki-NLP/opus-mt-mul-en on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0041
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1465 | 1.0 | 2423 | 1.0041 |
| 0.0976 | 2.0 | 4846 | 1.0041 |
| 0.3906 | 3.0 | 7269 | 1.0041 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3