<!-- 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. -->
SPECTER-finetuned-review_classifier
This model is a fine-tuned version of allenai/specter on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0645
- Accuracy: 0.9801
- F1: 0.8964
- Recall: 0.8814
- Precision: 0.9118
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: 4.5e-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
|---|---|---|---|---|---|---|---|
| 0.2013 | 1.0 | 1667 | 0.1327 | 0.9592 | 0.7827 | 0.7546 | 0.8131 |
| 0.1227 | 2.0 | 3334 | 0.0645 | 0.9801 | 0.8964 | 0.8814 | 0.9118 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
