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T5-3B-ch
EGannod/T5-3B-ch
T5-3B-ch is a machine learning model from EGannod. 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 peft. 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
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Dec 2, 2025
- Updated
- Dec 3, 2025
- SHA
- f533993d
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. -->
T5-3B-ch
This model is a fine-tuned version of google-t5/t5-3b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4411
- Bleu: 0.2953
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 0.5699 | 2.3258 | 1000 | 0.5428 | 0.1328 |
| 0.5037 | 4.6515 | 2000 | 0.4777 | 0.3525 |
| 0.476 | 6.9773 | 3000 | 0.4515 | 0.1759 |
| 0.4616 | 9.3025 | 4000 | 0.4411 | 0.2953 |
Framework versions
- PEFT 0.18.0
- Transformers 4.57.2
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1
- Library
- peft
- License
- apache-2.0
- Created
- Dec 2, 2025
- Updated
- Dec 3, 2025