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enko_mbartLarge_36p_exp1
yesj1234/enko_mbartLarge_36p_exp1
enko_mbartLarge_36p_exp1 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
- Oct 30, 2023
- Updated
- Oct 30, 2023
- SHA
- 13122424
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_exp1
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: 1.2181
- Bleu: 15.4063
- Gen Len: 14.7808
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.4235 | 0.46 | 5000 | 1.3893 | 12.3168 | 14.6634 |
| 1.3281 | 0.93 | 10000 | 1.2917 | 14.3522 | 14.9186 |
| 1.2506 | 1.39 | 15000 | 1.2669 | 14.3525 | 14.9494 |
| 1.1603 | 1.86 | 20000 | 1.2283 | 15.248 | 15.0062 |
| 1.0765 | 2.32 | 25000 | 1.2181 | 15.4063 | 14.7808 |
| 1.1019 | 2.79 | 30000 | 1.2753 | 14.3608 | 14.9014 |
| 1.0504 | 3.25 | 35000 | 1.2334 | 15.3253 | 14.7948 |
| 0.9431 | 3.72 | 40000 | 1.2512 | 15.2534 | 14.7293 |
| 0.8394 | 4.18 | 45000 | 1.2971 | 14.9999 | 14.7993 |
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
- Oct 30, 2023
- Updated
- Oct 30, 2023