metadata
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: roberta-base
model-index:
- name: roberta-base_PrefixTuning_lr5e-05_bs4_epoch20_wd0.01
results: []
roberta-base_PrefixTuning_lr5e-05_bs4_epoch20_wd0.01
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 14.4579
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: 8
- 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 15.4862 | 1.0 | 157 | 20.8478 |
| 14.9721 | 2.0 | 314 | 20.7345 |
| 15.0553 | 3.0 | 471 | 20.5177 |
| 14.4627 | 4.0 | 628 | 20.2344 |
| 14.0788 | 5.0 | 785 | 19.9480 |
| 13.2092 | 6.0 | 942 | 19.6334 |
| 13.0141 | 7.0 | 1099 | 19.2349 |
| 12.5052 | 8.0 | 1256 | 18.7395 |
| 11.8852 | 9.0 | 1413 | 18.2110 |
| 11.889 | 10.0 | 1570 | 17.7415 |
| 11.2937 | 11.0 | 1727 | 17.3058 |
| 11.0163 | 12.0 | 1884 | 16.8580 |
| 10.8939 | 13.0 | 2041 | 16.3684 |
| 10.8183 | 14.0 | 2198 | 15.9196 |
| 10.353 | 15.0 | 2355 | 15.5043 |
| 10.1386 | 16.0 | 2512 | 15.1272 |
| 9.9726 | 17.0 | 2669 | 14.8365 |
| 9.8421 | 18.0 | 2826 | 14.6183 |
| 9.9193 | 19.0 | 2983 | 14.4978 |
| 9.848 | 20.0 | 3140 | 14.4579 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0