metadata
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: roberta-base
model-index:
- name: roberta-base_lora_lr0.0005_bs4_epoch20_wd0.01
results: []
roberta-base_lora_lr0.0005_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: 0.0056
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: 0.0005
- 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 |
|---|---|---|---|
| 12.0309 | 1.0 | 157 | 2.8075 |
| 2.0953 | 2.0 | 314 | 1.1630 |
| 1.3141 | 3.0 | 471 | 0.3769 |
| 0.5659 | 4.0 | 628 | 0.1709 |
| 0.3778 | 5.0 | 785 | 0.1162 |
| 0.2225 | 6.0 | 942 | 0.0794 |
| 0.1871 | 7.0 | 1099 | 0.0458 |
| 0.1331 | 8.0 | 1256 | 0.0276 |
| 0.0819 | 9.0 | 1413 | 0.0264 |
| 0.0803 | 10.0 | 1570 | 0.0166 |
| 0.057 | 11.0 | 1727 | 0.0161 |
| 0.0525 | 12.0 | 1884 | 0.0178 |
| 0.0378 | 13.0 | 2041 | 0.0099 |
| 0.0357 | 14.0 | 2198 | 0.0051 |
| 0.0248 | 15.0 | 2355 | 0.0077 |
| 0.0292 | 16.0 | 2512 | 0.0047 |
| 0.0229 | 17.0 | 2669 | 0.0052 |
| 0.0227 | 18.0 | 2826 | 0.0062 |
| 0.0201 | 19.0 | 2983 | 0.0056 |
| 0.0198 | 20.0 | 3140 | 0.0056 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0