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ACoRN_Flan-t5-large-nq
Alan96/ACoRN_Flan-t5-large-nq
ACoRN_Flan-t5-large-nq is a machine learning model from Alan96. 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
- Apr 29, 2025
- Updated
- Apr 29, 2025
- SHA
- 3dd8abef
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. -->
flan-t5-large-train_r_aug_nq
This model is a fine-tuned version of google/flan-t5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6847
- Model Preparation Time: 0.0327
- Gen Len: 46.8571
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: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- total_eval_batch_size: 16
- 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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Gen Len |
|---|---|---|---|---|---|
| 0.8443 | 0.2426 | 1000 | 0.7528 | 0.0327 | 43.0732 |
| 0.7599 | 0.4853 | 2000 | 0.7291 | 0.0327 | 44.8394 |
| 0.8173 | 0.7279 | 3000 | 0.7155 | 0.0327 | 44.2668 |
| 0.7728 | 0.9705 | 4000 | 0.7051 | 0.0327 | 46.6625 |
| 0.7575 | 1.2130 | 5000 | 0.7014 | 0.0327 | 45.4954 |
| 0.6728 | 1.4557 | 6000 | 0.6959 | 0.0327 | 44.1418 |
| 0.6547 | 1.6983 | 7000 | 0.6901 | 0.0327 | 44.7631 |
| 0.7072 | 1.9409 | 8000 | 0.6856 | 0.0327 | 48.0779 |
| 0.6204 | 2.1834 | 9000 | 0.6911 | 0.0327 | 46.9579 |
| 0.6185 | 2.4261 | 10000 | 0.6871 | 0.0327 | 45.6444 |
| 0.5904 | 2.6687 | 11000 | 0.6879 | 0.0327 | 46.1530 |
| 0.6852 | 2.9113 | 12000 | 0.6847 | 0.0327 | 46.8571 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.4.0
- Datasets 3.2.0
- Tokenizers 0.21.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 29, 2025
- Updated
- Apr 29, 2025