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GenzTranscribe-en-gu
ParthNakum21/GenzTranscribe-en-gu
GenzTranscribe-en-gu is a machine learning model from ParthNakum21. 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
- t5
- Access
- Public
- Created
- Jul 29, 2023
- Updated
- Jul 29, 2023
- SHA
- d9102dc3
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. -->
GenzTranscribe-en-gu
This model is a fine-tuned version of t5-small on the opus100 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3075
- Bleu: 59.9227
- Gen Len: 9.6443
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.3593 | 1.0 | 31831 | 0.3253 | 58.1921 | 9.7108 |
| 0.3421 | 2.0 | 63662 | 0.3075 | 59.9227 | 9.6443 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jul 29, 2023
- Updated
- Jul 29, 2023