Downloads · 30 days
3
8% of all-time downloads
finetuned_byT5large_pnb_joint
lowresource-igt/finetuned_byT5large_pnb_joint
finetuned_byT5large_pnb_joint is a machine learning model from lowresource-igt. 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. --
All-time downloads
38
Public
Parameters
1.2B
4.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors4.9 GB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Jul 24, 2026
- Updated
- Jul 24, 2026
- SHA
- a4a554a3
Base models
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. -->
finetuned_byT5large_pnb_joint
This model is a fine-tuned version of google/byt5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3437
- Chrf++: 4.1915
- Gen Len: 189.0588
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Chrf++ | Gen Len |
|---|---|---|---|---|---|
| 41.4608 | 1.4706 | 4 | 2.4036 | 5.2353 | 188.3529 |
| 41.4608 | 2.9412 | 8 | 2.4034 | 5.2089 | 188.9412 |
| 41.4608 | 4.0 | 12 | 2.4040 | 5.6686 | 188.8824 |
| 41.4608 | 5.4706 | 16 | 2.4033 | 4.9653 | 188.9412 |
| 41.4608 | 6.9412 | 20 | 2.4033 | 4.6819 | 188.8235 |
| 41.4608 | 8.0 | 24 | 2.4026 | 4.4912 | 188.7647 |
| 41.4608 | 9.4706 | 28 | 2.4011 | 4.4052 | 188.7059 |
| 41.4608 | 10.9412 | 32 | 2.4008 | 4.5225 | 189.1765 |
| 41.4608 | 12.0 | 36 | 2.3990 | 5.1372 | 189.0588 |
| 41.4608 | 13.4706 | 40 | 2.3954 | 4.3585 | 189.0 |
| 41.4608 | 14.9412 | 44 | 2.3907 | 4.7137 | 188.2941 |
| 41.4608 | 16.0 | 48 | 2.3887 | 4.8434 | 188.9412 |
| 41.4608 | 17.4706 | 52 | 2.3836 | 4.7941 | 188.7647 |
| 41.4608 | 18.9412 | 56 | 2.3819 | 4.7571 | 189.0 |
| 41.4608 | 20.0 | 60 | 2.3742 | 5.3375 | 188.8235 |
| 41.4608 | 21.4706 | 64 | 2.3583 | 3.9694 | 186.2941 |
| 41.4608 | 22.9412 | 68 | 2.3528 | 3.7939 | 188.8235 |
| 41.4608 | 24.0 | 72 | 2.3437 | 4.7144 | 188.0 |
| 41.4608 | 25.4706 | 76 | 2.3437 | 4.1915 | 189.0588 |
Framework versions
- Transformers 5.12.1
- Pytorch 2.6.0+cu124
- Datasets 5.0.0
- Tokenizers 0.22.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jul 24, 2026
- Updated
- Jul 24, 2026