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mbart50-es-zapv2
This model is a fine-tuned version of facebook/mbart-large-50 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2902
- Bleu: 18.7613
- Ter: 69.5611
- Meteor: 0.4206
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Ter | Meteor |
|---|---|---|---|---|---|---|
| 5.9172 | 1.0 | 179 | 0.4674 | 3.6424 | 91.5076 | 0.2051 |
| 0.6639 | 2.0 | 358 | 0.7822 | 0.0 | 100.0 | 0.0 |
| 0.4960 | 3.0 | 537 | 0.2733 | 8.1370 | 84.6374 | 0.2895 |
| 0.1756 | 4.0 | 716 | 0.2302 | 16.6049 | 77.2901 | 0.4079 |
| 0.1186 | 5.0 | 895 | 0.2245 | 18.6545 | 69.3702 | 0.4340 |
| 0.0656 | 6.0 | 1074 | 0.2474 | 20.0563 | 68.9885 | 0.4478 |
| 0.0496 | 7.0 | 1253 | 0.3485 | 14.4966 | 76.7176 | 0.3331 |
| 0.0469 | 8.0 | 1432 | 0.2902 | 18.7613 | 69.5611 | 0.4206 |
Framework versions
- Transformers 5.4.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.4
- Tokenizers 0.22.2
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Model tree for josueu/mbart50-es-zapv2
Base model
facebook/mbart-large-50
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("josueu/mbart50-es-zapv2") model = AutoModelForSeq2SeqLM.from_pretrained("josueu/mbart50-es-zapv2", device_map="auto")