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mt5-small-finetuned-src-to-trg-testing
s3h/mt5-small-finetuned-src-to-trg-testing
mt5-small-finetuned-src-to-trg-testing is a machine learning model from s3h. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Dec 21, 2021
- SHA
- 4cc2bcde
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. -->
mt5-small-finetuned-src-to-trg-testing
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 15.8614
- Bleu: 0.1222
- Gen Len: 3.75
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 4 | 15.8782 | 0.1222 | 3.75 |
| No log | 2.0 | 8 | 15.7909 | 0.1222 | 3.75 |
| No log | 3.0 | 12 | 15.8614 | 0.1222 | 3.75 |
Framework versions
- Transformers 4.14.1
- Pytorch 1.7.1
- Datasets 1.16.2.dev0
- Tokenizers 0.10.3
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Mar 2, 2022
- Updated
- Dec 21, 2021