fine-tuned-tiny-summary-v2
This model is a fine-tuned version of 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
- Downloads last month
- 5
Model tree for ambrosfitz/history-tiny-summary
Base model
ambrosfitz/tiny-summary-v2
Finetuned
this model