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flan-t5-large-wcep10-extracted-sentences
Awesome075/flan-t5-large-wcep10-extracted-sentences
flan-t5-large-wcep10-extracted-sentences is a machine learning model from Awesome075. 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
- Mar 27, 2026
- Updated
- Mar 27, 2026
- SHA
- 6c1ce4b0
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. -->
wcep-flan-t5-large
This model is a fine-tuned version of google/flan-t5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 11.5401
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: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 153.7908 | 0.4391 | 50 | 17.2862 |
| 138.3394 | 0.8782 | 100 | 14.9564 |
| 127.3862 | 1.3161 | 150 | 13.1359 |
| 120.2336 | 1.7552 | 200 | 12.1544 |
| 115.0450 | 2.1932 | 250 | 11.8273 |
| 112.3383 | 2.6323 | 300 | 11.5401 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Mar 27, 2026
- Updated
- Mar 27, 2026