metadata
library_name: transformers
license: mit
base_model: saracandu/stldec_arch
tags:
- generated_from_trainer
model-index:
- name: stldec_arch
results: []
stldec_arch
This model is a fine-tuned version of saracandu/stldec_arch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8738
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: 0.0001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0 | 0 | 3.8917 |
| 2.7225 | 0.6483 | 100 | 2.6803 |
| 1.6189 | 1.2917 | 200 | 1.5324 |
| 0.9914 | 1.9400 | 300 | 0.9894 |
| 0.8278 | 2.5835 | 400 | 0.9311 |
| 0.7646 | 3.2269 | 500 | 0.9649 |
| 0.7273 | 3.8752 | 600 | 0.9046 |
| 0.706 | 4.5186 | 700 | 0.8855 |
| 0.6927 | 5.1621 | 800 | 0.8959 |
| 0.6813 | 5.8104 | 900 | 0.8868 |
| 0.6719 | 6.4538 | 1000 | 0.8772 |
| 0.6683 | 7.0972 | 1100 | 0.8766 |
| 0.6584 | 7.7455 | 1200 | 0.8761 |
| 0.6592 | 8.3890 | 1300 | 0.8714 |
| 0.6567 | 9.0324 | 1400 | 0.8729 |
| 0.6512 | 9.6807 | 1500 | 0.8738 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.4.2
- Tokenizers 0.22.1