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jako_mbartLarge_100p_run1
yesj1234/jako_mbartLarge_100p_run1
jako_mbartLarge_100p_run1 is a machine learning model from yesj1234. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- mbart
- Access
- Public
- Created
- Nov 23, 2023
- Updated
- Nov 23, 2023
- SHA
- c8c376ea
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. -->
jako_mbartLarge_100p_run1
This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6815
- Bleu: 57.9768
- Gen Len: 17.2796
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.7241 | 1.0 | 43504 | 0.7178 | 56.112 | 17.3165 |
| 0.5523 | 2.0 | 87009 | 0.6815 | 57.9768 | 17.2796 |
| 0.4356 | 3.0 | 130513 | 0.7014 | 58.5493 | 17.1569 |
| 0.3407 | 4.0 | 174018 | 0.7513 | 58.3826 | 17.1623 |
| 0.2605 | 5.0 | 217522 | 0.8122 | 58.7238 | 17.0888 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- mbart
- Languages
- ja, ko
- Created
- Nov 23, 2023
- Updated
- Nov 23, 2023