scotus
This model is a fine-tuned version of YoungPanda/REBIRTHBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0950
- Accuracy: 0.7079
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: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- total_train_batch_size: 3
- total_eval_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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