metadata
license: mit
base_model: facebook/m2m100_418M
tags:
- generated_from_trainer
model-index:
- name: fine_tuned_models
results: []
fine_tuned_models
This model is a fine-tuned version of facebook/m2m100_418M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1109
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 38
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1148 | 18.43 | 500 | 0.1239 |
| 0.0695 | 36.87 | 1000 | 0.1073 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Tokenizers 0.14.1