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enko_mbartLarge_36p_run1
yesj1234/enko_mbartLarge_36p_run1
enko_mbartLarge_36p_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 1, 2023
- Updated
- Nov 1, 2023
- SHA
- f3e2f356
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. -->
enko_mbartLarge_36p_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: 1.1249
- Bleu: 26.0278
- Gen Len: 16.4716
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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.3157 | 0.46 | 5000 | 1.2895 | 21.6734 | 16.4931 |
| 1.2575 | 0.93 | 10000 | 1.2279 | 22.5814 | 16.8009 |
| 1.1578 | 1.39 | 15000 | 1.1733 | 24.2386 | 16.5838 |
| 1.0885 | 1.86 | 20000 | 1.1464 | 24.7921 | 16.6649 |
| 1.0451 | 2.32 | 25000 | 1.1437 | 24.8186 | 16.5188 |
| 1.0465 | 2.79 | 30000 | 1.1425 | 24.9684 | 16.4987 |
| 1.0156 | 3.25 | 35000 | 1.1464 | 25.0127 | 16.5515 |
| 0.9893 | 3.72 | 40000 | 1.1544 | 24.6323 | 16.6096 |
| 0.8779 | 4.18 | 45000 | 1.1419 | 25.3982 | 16.457 |
| 0.8565 | 4.65 | 50000 | 1.1249 | 26.0152 | 16.4749 |
| 0.7293 | 5.11 | 55000 | 1.1566 | 25.8209 | 16.3462 |
| 0.7294 | 5.57 | 60000 | 1.1824 | 25.061 | 16.3295 |
| 0.7254 | 6.04 | 65000 | 1.2153 | 24.8712 | 16.381 |
| 0.6469 | 6.5 | 70000 | 1.1965 | 25.3326 | 16.5447 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
- Library
- transformers
- Type
- mbart
- Languages
- en, ko
- Created
- Nov 1, 2023
- Updated
- Nov 1, 2023