metadata
license: mit
base_model: facebook/m2m100_418M
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: m2m100_418M-finetuned-en-ru
results: []
m2m100_418M-finetuned-en-ru
This model is a fine-tuned version of facebook/m2m100_418M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6798
- Bleu: 51.7753
- Gen Len: 61.5271
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: 4
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 50
- total_train_batch_size: 200
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.8981 | 1.0 | 9218 | 0.8277 | 48.5181 | 61.4701 |
| 0.8167 | 2.0 | 18437 | 0.7696 | 49.6956 | 61.4641 |
| 0.7718 | 3.0 | 27656 | 0.7396 | 50.4045 | 61.5042 |
| 0.7373 | 4.0 | 36875 | 0.7203 | 50.8134 | 61.5313 |
| 0.713 | 5.0 | 46094 | 0.7069 | 51.136 | 61.5931 |
| 0.6937 | 6.0 | 55312 | 0.6967 | 51.4274 | 61.5911 |
| 0.6787 | 7.0 | 64531 | 0.6889 | 51.5404 | 61.5012 |
| 0.6659 | 8.0 | 73750 | 0.6844 | 51.7187 | 61.5229 |
| 0.6584 | 9.0 | 82969 | 0.6809 | 51.8218 | 61.5392 |
| 0.649 | 10.0 | 92180 | 0.6798 | 51.7753 | 61.5271 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.2.0.dev20230920+cu121
- Datasets 2.14.4
- Tokenizers 0.13.3