mtg-card-pricing-model
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 697.3209
- Mse: 697.3207
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse |
|---|---|---|---|---|
| 1981.8588 | 1.0 | 2578 | 701.4816 | 701.4817 |
| 557.9489 | 2.0 | 5156 | 698.7001 | 698.7001 |
| 149.627 | 3.0 | 7734 | 697.3209 | 697.3207 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cpu
- Tokenizers 0.21.0
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Model tree for duncanmcd384/mtg-card-pricing-model
Base model
google-bert/bert-base-uncased