metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: TestHelsinkimulEnJpTh0
results: []
TestHelsinkimulEnJpTh0
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-mul on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6882
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4665 | 1.0 | 4846 | 0.8669 |
| 0.1461 | 2.0 | 9692 | 0.7631 |
| 0.419 | 3.0 | 14538 | 0.7144 |
| 0.1456 | 4.0 | 19384 | 0.6867 |
| 0.2308 | 5.0 | 24230 | 0.6882 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3