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mBART_translator_json_3
eunyounglee/mBART_translator_json_3
mBART_translator_json_3 is a machine learning model from eunyounglee. 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 13, 2022
- Updated
- Oct 13, 2022
- SHA
- 12daa69c
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_translator_json_3
This model is a fine-tuned version of facebook/mbart-large-cc25 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2480
- Bleu: 72.3119
- Gen Len: 38.8266
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 444 | 1.5654 | 37.2408 | 115.2556 |
| 4.2672 | 2.0 | 888 | 0.9088 | 58.5669 | 56.1363 |
| 1.754 | 3.0 | 1332 | 0.6627 | 56.8038 | 56.2753 |
| 1.2023 | 4.0 | 1776 | 0.5349 | 59.8569 | 35.3384 |
| 0.9387 | 5.0 | 2220 | 0.4390 | 66.4894 | 46.4797 |
| 0.7839 | 6.0 | 2664 | 0.3663 | 68.8133 | 46.3215 |
| 0.664 | 7.0 | 3108 | 0.3127 | 67.7323 | 37.8041 |
| 0.5833 | 8.0 | 3552 | 0.2790 | 69.3004 | 38.8193 |
| 0.5833 | 9.0 | 3996 | 0.2543 | 70.0163 | 38.4707 |
| 0.5206 | 10.0 | 4440 | 0.2480 | 72.3119 | 38.8266 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.13.1
- Library
- transformers
- Type
- mbart
- Created
- Oct 13, 2022
- Updated
- Oct 13, 2022