metadata
license: mit
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: iva_mt_wslot-m2m100_1.2B-0.1.0
results: []
iva_mt_wslot-m2m100_1.2B-0.1.0
This model is a fine-tuned version of facebook/m2m100_1.2B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3082
- Bleu: 62.4604
- Gen Len: 21.2847
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: 4
- 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 |
|---|---|---|---|---|---|
| 0.2744 | 1.0 | 5091 | 0.2555 | 58.5119 | 21.0728 |
| 0.1829 | 2.0 | 10182 | 0.2475 | 59.7364 | 21.0769 |
| 0.1124 | 3.0 | 15273 | 0.2499 | 61.3552 | 21.06 |
| 0.0783 | 4.0 | 20364 | 0.2597 | 61.6618 | 21.2402 |
| 0.0496 | 5.0 | 25455 | 0.2698 | 62.1942 | 21.2901 |
| 0.0318 | 6.0 | 30546 | 0.2798 | 61.9068 | 21.3399 |
| 0.0204 | 7.0 | 35637 | 0.2893 | 61.7753 | 21.3102 |
| 0.0138 | 8.0 | 40728 | 0.2979 | 62.3925 | 21.3238 |
| 0.009 | 9.0 | 45819 | 0.3034 | 62.4942 | 21.2516 |
| 0.0058 | 10.0 | 50910 | 0.3082 | 62.4604 | 21.2847 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2