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MT-earthy-oath-48
This model is a fine-tuned version of toobiza/table-transformer-spring-energy-46 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9373
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-06
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5421 | 0.6 | 50 | 0.9476 |
| 0.4713 | 1.19 | 100 | 0.9405 |
| 0.4199 | 1.79 | 150 | 0.9373 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
