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fa-t5-paraphraser
alighasemi/fa-t5-paraphraser
fa-t5-paraphraser is a machine learning model from alighasemi. 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
- t5
- Access
- Public
- Created
- Dec 11, 2022
- Updated
- Jan 18, 2023
- SHA
- 511817aa
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. -->
fa-t5-paraphraser
This model is a fine-tuned version of alighasemi/fa-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Bleu: 0.7025
- Gen Len: 5.8813
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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.0 | 1.0 | 55088 | nan | 0.7025 | 5.8813 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
- Library
- transformers
- Type
- t5
- Languages
- fa
- Created
- Dec 11, 2022
- Updated
- Jan 18, 2023