iva_mt_wslot-m2m100_418M-en-pl-massive_filtered
This model is a fine-tuned version of facebook/m2m100_418M on the iva_mt_wslot-exp dataset. It achieves the following results on the evaluation set:
- Loss: 0.0183
- Bleu: 62.374
- Gen Len: 22.2291
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 |
|---|---|---|---|---|---|
| 0.02 | 1.0 | 4207 | 0.0178 | 58.2501 | 22.1015 |
| 0.0138 | 2.0 | 8414 | 0.0165 | 59.7044 | 22.3942 |
| 0.0098 | 3.0 | 12621 | 0.0164 | 60.5111 | 22.2572 |
| 0.0076 | 4.0 | 16828 | 0.0165 | 61.0963 | 22.2659 |
| 0.0056 | 5.0 | 21035 | 0.0168 | 61.2977 | 22.1654 |
| 0.0041 | 6.0 | 25242 | 0.0171 | 61.6892 | 22.2384 |
| 0.0032 | 7.0 | 29449 | 0.0177 | 61.5857 | 22.2927 |
| 0.0024 | 8.0 | 33656 | 0.0179 | 62.1501 | 22.1389 |
| 0.0018 | 9.0 | 37863 | 0.0182 | 62.3106 | 22.3325 |
| 0.0015 | 10.0 | 42070 | 0.0183 | 62.374 | 22.2291 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3