metadata
license: mit
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: iva_mt_wslot-m2m100_418M-0.1.0
results: []
iva_mt_wslot-m2m100_418M-0.1.0
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: 0.0176
- Bleu: 61.6249
- Gen Len: 21.157
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 |
|---|---|---|---|---|---|
| 0.0178 | 1.0 | 5091 | 0.0171 | 57.4439 | 21.1396 |
| 0.013 | 2.0 | 10182 | 0.0159 | 58.886 | 21.2285 |
| 0.0091 | 3.0 | 15273 | 0.0157 | 60.159 | 21.1222 |
| 0.0073 | 4.0 | 20364 | 0.0159 | 60.5893 | 21.1212 |
| 0.0054 | 5.0 | 25455 | 0.0161 | 60.6484 | 21.0679 |
| 0.004 | 6.0 | 30546 | 0.0166 | 61.5283 | 21.0875 |
| 0.0031 | 7.0 | 35637 | 0.0169 | 61.0439 | 21.1562 |
| 0.0024 | 8.0 | 40728 | 0.0172 | 61.9427 | 21.2203 |
| 0.0018 | 9.0 | 45819 | 0.0175 | 61.7325 | 21.1478 |
| 0.0014 | 10.0 | 50910 | 0.0176 | 61.6249 | 21.157 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2