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mbart-finetuned_za_es_v1
josueu/mbart-finetuned_za_es_v1
mbart-finetuned_za_es_v1 is a machine learning model from josueu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- mbart
- Access
- Public
- Created
- Mar 6, 2025
- Updated
- Mar 6, 2025
- SHA
- dc376bad
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
mbart-finetuned_za_es_v1
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: 2.0517
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 35 | 8.2907 |
| No log | 2.0 | 70 | 5.4803 |
| No log | 3.0 | 105 | 3.4843 |
| No log | 4.0 | 140 | 2.3780 |
| No log | 5.0 | 175 | 2.0517 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Library
- transformers
- Type
- mbart
- License
- mit
- Created
- Mar 6, 2025
- Updated
- Mar 6, 2025