AdditiveLLM
Collection
32 items
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Updated
defect-classification-scibert-prompt-05-epochs
This model is a fine-tuned version of allenai/scibert_scivocab_uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4094
- Accuracy: 0.8078
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: 768
- eval_batch_size: 768
- seed: 42
- optimizer: Use 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3562 | 1.0 | 53084 | 0.4182 | 0.8043 |
| 0.3518 | 2.0 | 106168 | 0.3997 | 0.8114 |
| 0.3501 | 3.0 | 159252 | 0.4120 | 0.8073 |
| 0.3459 | 4.0 | 212336 | 0.4094 | 0.8067 |
| 0.3463 | 5.0 | 265420 | 0.4094 | 0.8078 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
Inference Providers
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Model tree for ppak10/defect-classification-scibert-prompt-05-epochs
Base model
allenai/scibert_scivocab_uncased