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nepali_t5
rujengelal/nepali_t5
nepali_t5 is a machine learning model from rujengelal. 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
- Apr 27, 2024
- Updated
- Apr 28, 2024
- SHA
- dff17d2e
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. -->
nepali_t5
This model is a fine-tuned version of rujengelal/nepali_t5 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6633
- Bleu: 6.3134
- Gen Len: 15.9835
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 3.0928 | 1.0 | 17734 | 2.8330 | 5.4935 | 15.9053 |
| 3.101 | 2.0 | 35468 | 2.8127 | 5.5409 | 15.8787 |
| 3.0165 | 3.0 | 53202 | 2.7814 | 5.6622 | 15.9238 |
| 2.9973 | 4.0 | 70936 | 2.7532 | 5.8108 | 15.8996 |
| 2.8885 | 5.0 | 88670 | 2.7294 | 5.9077 | 15.8805 |
| 2.8114 | 6.0 | 106404 | 2.7074 | 6.1401 | 15.9749 |
| 2.7791 | 7.0 | 124138 | 2.6905 | 6.1567 | 15.9531 |
| 2.7729 | 8.0 | 141872 | 2.6782 | 6.1865 | 15.9688 |
| 2.7128 | 9.0 | 159606 | 2.6699 | 6.2233 | 16.063 |
| 2.7398 | 10.0 | 177340 | 2.6633 | 6.3134 | 15.9835 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 27, 2024
- Updated
- Apr 28, 2024