| --- |
| base_model: ambrosfitz/tiny-summary-v2 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: fine-tuned-tiny-summary-v2 |
| 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. --> |
|
|
| # fine-tuned-tiny-summary-v2 |
|
|
| This model is a fine-tuned version of [ambrosfitz/tiny-summary-v2](https://huggingface.co/ambrosfitz/tiny-summary-v2) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.0644 |
|
|
| ## 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: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 3 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 1.3065 | 0.2183 | 500 | 1.2462 | |
| | 1.2737 | 0.4367 | 1000 | 1.1660 | |
| | 1.4422 | 0.6550 | 1500 | 1.1347 | |
| | 1.2923 | 0.8734 | 2000 | 1.1160 | |
| | 1.393 | 1.0917 | 2500 | 1.1044 | |
| | 1.0732 | 1.3100 | 3000 | 1.0930 | |
| | 1.1855 | 1.5284 | 3500 | 1.0828 | |
| | 1.0891 | 1.7467 | 4000 | 1.0761 | |
| | 1.1869 | 1.9651 | 4500 | 1.0754 | |
| | 1.1216 | 2.1834 | 5000 | 1.0702 | |
| | 1.2007 | 2.4017 | 5500 | 1.0692 | |
| | 1.1125 | 2.6201 | 6000 | 1.0644 | |
| | 1.2241 | 2.8384 | 6500 | 1.0644 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.42.4 |
| - Pytorch 2.3.1+cu121 |
| - Datasets 2.21.0 |
| - Tokenizers 0.19.1 |
| |
