Downloads · 30 days
3
1% of all-time downloads
t5-small-kg-verifier-balanced
armymoaengene/t5-small-kg-verifier-balanced
t5-small-kg-verifier-balanced is a machine learning model from armymoaengene. 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.
should probably proofread and complete it, then remove this comment. --
All-time downloads
317
Public
Parameters
60.5M
3.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors484 MB · 100%
At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Jul 25, 2025
- Updated
- Jul 25, 2025
- SHA
- 28009a23
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-small-kg-verifier-balanced
This model is a fine-tuned version of armymoaengene/t5-small-kg-verifier-balanced on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0060
- Accuracy: 0.9716
- Precision: 0.9627
- Recall: 0.9812
- F1: 0.9719
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.0067 | 1.0 | 12500 | 0.0085 | 0.9588 | 0.9405 | 0.9796 | 0.9596 |
| 0.0105 | 2.0 | 25000 | 0.0070 | 0.9636 | 0.9527 | 0.9756 | 0.9640 |
| 0.0087 | 3.0 | 37500 | 0.0074 | 0.9642 | 0.9408 | 0.9908 | 0.9651 |
| 0.0052 | 4.0 | 50000 | 0.0068 | 0.97 | 0.9537 | 0.988 | 0.9705 |
| 0.0071 | 5.0 | 62500 | 0.0059 | 0.9704 | 0.9590 | 0.9828 | 0.9708 |
Framework versions
- Transformers 4.53.2
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.2
- Library
- transformers
- Type
- t5
- Created
- Jul 25, 2025
- Updated
- Jul 25, 2025