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gec-flan-t5-large-stage-2
512duncanl/gec-flan-t5-large-stage-2
gec-flan-t5-large-stage-2 is a machine learning model from 512duncanl. 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 20, 2025
- Updated
- Jul 20, 2025
- SHA
- be32b17f
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. -->
gec-flan-t5-large-stage-2
This model is a fine-tuned version of 512duncanl/gec-flan-t5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1946
- F0.5: 0.6373
- Precision: 0.6715
- Recall: 0.5295
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: 4e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 192
- 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | F0.5 | Precision | Recall |
|---|---|---|---|---|---|---|
| 0.2415 | 1.0 | 193 | 0.2063 | 0.6416 | 0.6810 | 0.5209 |
| 0.1941 | 2.0 | 386 | 0.1946 | 0.6373 | 0.6715 | 0.5295 |
Framework versions
- Transformers 4.53.2
- Pytorch 2.7.1+cu128
- Datasets 4.0.0
- Tokenizers 0.21.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jul 20, 2025
- Updated
- Jul 20, 2025