Tectonic1.0-CSV-FineTune
This model is a fine-tuned version of PopeJohn/Tectonic1.0 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2653
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 4 | 3.4933 |
| 3.9604 | 2.0 | 8 | 3.4453 |
| 3.5848 | 3.0 | 12 | 3.4070 |
| 3.7344 | 4.0 | 16 | 3.3768 |
| 3.4376 | 5.0 | 20 | 3.3524 |
| 3.4376 | 6.0 | 24 | 3.3331 |
| 3.5347 | 7.0 | 28 | 3.3175 |
| 3.4483 | 8.0 | 32 | 3.3037 |
| 3.3816 | 9.0 | 36 | 3.2923 |
| 3.3821 | 10.0 | 40 | 3.2834 |
| 3.3821 | 11.0 | 44 | 3.2767 |
| 3.3407 | 12.0 | 48 | 3.2716 |
| 3.3203 | 13.0 | 52 | 3.2682 |
| 3.3878 | 14.0 | 56 | 3.2661 |
| 3.3684 | 15.0 | 60 | 3.2653 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Downloads last month
- 80
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support