| --- |
| library_name: transformers |
| base_model: CodeIsAbstract/HybridTimeScaleModel_conti2 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: HybridTimeScaleModel_conti3 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # HybridTimeScaleModel_conti3 |
| |
| This model is a fine-tuned version of [CodeIsAbstract/HybridTimeScaleModel_conti2](https://huggingface.co/CodeIsAbstract/HybridTimeScaleModel_conti2) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.2616 |
| |
| ## 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: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 16 |
| - 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: constant_with_warmup |
| - lr_scheduler_warmup_steps: 10 |
| - training_steps: 1000 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 3.1777 | 0.05 | 50 | 3.4269 | |
| | 3.1601 | 0.1 | 100 | 3.3961 | |
| | 3.1383 | 0.15 | 150 | 3.3838 | |
| | 3.0848 | 0.2 | 200 | 3.3661 | |
| | 3.0850 | 0.25 | 250 | 3.3512 | |
| | 3.0674 | 0.3 | 300 | 3.3399 | |
| | 3.0248 | 0.35 | 350 | 3.3282 | |
| | 3.0237 | 0.4 | 400 | 3.3229 | |
| | 3.0460 | 0.45 | 450 | 3.3178 | |
| | 3.0554 | 0.5 | 500 | 3.3105 | |
| | 3.0215 | 0.55 | 550 | 3.3045 | |
| | 3.0404 | 0.6 | 600 | 3.2980 | |
| | 3.0302 | 0.65 | 650 | 3.2929 | |
| | 3.0227 | 0.7 | 700 | 3.2861 | |
| | 2.9928 | 0.75 | 750 | 3.2805 | |
| | 3.0219 | 0.8 | 800 | 3.2757 | |
| | 2.9899 | 0.85 | 850 | 3.2712 | |
| | 2.9925 | 0.9 | 900 | 3.2690 | |
| | 2.9400 | 0.95 | 950 | 3.2654 | |
| | 2.9780 | 1.0 | 1000 | 3.2616 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 5.14.1 |
| - Pytorch 2.8.0+cu128 |
| - Datasets 5.0.1 |
| - Tokenizers 0.22.2 |
|
|
