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finetuned_byT5large_kmr_joint
lowresource-igt/finetuned_byT5large_kmr_joint
finetuned_byT5large_kmr_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. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Jul 31, 2026
- Updated
- Jul 31, 2026
- SHA
- a1a21341
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_kmr_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: 2.5833
- Chrf++: 2.9221
- Gen Len: 188.5676
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 |
|---|---|---|---|---|---|
| 56.9640 | 1.0 | 2 | 2.6037 | 3.2236 | 188.6689 |
| 56.9640 | 2.0 | 4 | 2.6035 | 3.2146 | 188.9392 |
| 56.9640 | 3.0 | 6 | 2.6034 | 3.1849 | 188.9797 |
| 56.9640 | 4.0 | 8 | 2.6025 | 3.3283 | 189.0608 |
| 56.9640 | 5.0 | 10 | 2.6035 | 3.196 | 188.8311 |
| 56.9640 | 6.0 | 12 | 2.6026 | 3.2725 | 189.0676 |
| 56.9640 | 7.0 | 14 | 2.6023 | 3.1947 | 188.9392 |
| 56.9640 | 8.0 | 16 | 2.6022 | 3.2155 | 188.6959 |
| 56.9640 | 9.0 | 18 | 2.6008 | 3.1625 | 188.8649 |
| 56.9640 | 10.0 | 20 | 2.6000 | 3.2037 | 188.5676 |
| 56.9640 | 11.0 | 22 | 2.5997 | 2.9537 | 188.6554 |
| 56.9640 | 12.0 | 24 | 2.5968 | 3.034 | 188.7905 |
| 56.9640 | 13.0 | 26 | 2.5953 | 3.0142 | 188.4865 |
| 56.9640 | 14.0 | 28 | 2.5944 | 2.8658 | 188.5405 |
| 56.9640 | 15.0 | 30 | 2.5927 | 2.9442 | 188.7838 |
| 56.9640 | 16.0 | 32 | 2.5904 | 2.6181 | 188.7162 |
| 56.9640 | 17.0 | 34 | 2.5873 | 2.6959 | 188.7703 |
| 56.9640 | 18.0 | 36 | 2.5854 | 2.6229 | 188.6419 |
| 56.9640 | 19.0 | 38 | 2.5833 | 2.9221 | 188.5676 |
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 31, 2026
- Updated
- Jul 31, 2026