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my_translator_vi-en
huythai855/my_translator_vi-en
my_translator_vi-en is a machine learning model from huythai855. 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
- t5
- Access
- Public
- Created
- Oct 21, 2023
- Updated
- Oct 21, 2023
- SHA
- 0fcce98b
Base models
Datasets
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. -->
my_translator_vi-en
This model is a fine-tuned version of VietAI/vit5-base on the mt_eng_vietnamese dataset. It achieves the following results on the evaluation set:
- Loss: 3.3819
- Bleu: 2.6085
- Gen Len: 18.36
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 3.9425 | 1.0 | 667 | 3.5155 | 2.3213 | 17.32 |
| 3.2655 | 2.0 | 1334 | 3.3819 | 2.6085 | 18.36 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Library
- transformers
- Type
- t5
- License
- mit
- Created
- Oct 21, 2023
- Updated
- Oct 21, 2023