results
This model is a fine-tuned version of knowledgator/gliclass-small-v1.0 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.967 | 1.0 | 14 | 0.0061 |
0.1299 | 2.0 | 28 | 0.0000 |
0.0213 | 3.0 | 42 | 0.0000 |
0.1641 | 4.0 | 56 | 0.0000 |
0.0434 | 5.0 | 70 | 0.0 |
0.066 | 6.0 | 84 | 0.0000 |
0.061 | 7.0 | 98 | 0.0000 |
0.0265 | 8.0 | 112 | 0.0 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for rkoh/results
Base model
knowledgator/gliclass-small-v1.0