iva_mt_wslot-m2m100_418M-en-pl-noleyzer
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: 0.3387
- Bleu: 56.3512
- Gen Len: 20.7319
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 |
---|---|---|---|---|---|
0.3611 | 1.0 | 4097 | 0.3088 | 53.0678 | 20.6977 |
0.2624 | 2.0 | 8194 | 0.2937 | 53.8146 | 20.5946 |
0.1904 | 3.0 | 12291 | 0.2955 | 53.7632 | 20.8701 |
0.1501 | 4.0 | 16388 | 0.2999 | 55.4482 | 20.6983 |
0.1079 | 5.0 | 20485 | 0.3074 | 55.5861 | 20.6366 |
0.0852 | 6.0 | 24582 | 0.3165 | 55.8774 | 20.6638 |
0.0646 | 7.0 | 28679 | 0.3231 | 55.9306 | 20.555 |
0.0464 | 8.0 | 32776 | 0.3294 | 55.9869 | 20.7809 |
0.0377 | 9.0 | 36873 | 0.3348 | 56.0674 | 20.7044 |
0.0305 | 10.0 | 40970 | 0.3387 | 56.3512 | 20.7319 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
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