metadata
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: roberta-base
model-index:
- name: roberta-base_lora_lr5e-05_bs4_epoch20_wd0.01
results: []
roberta-base_lora_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: 0.3786
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 |
|---|---|---|---|
| 19.0917 | 1.0 | 157 | 12.3781 |
| 5.0512 | 2.0 | 314 | 4.0762 |
| 3.8203 | 3.0 | 471 | 2.6873 |
| 2.586 | 4.0 | 628 | 2.0339 |
| 2.2522 | 5.0 | 785 | 1.6467 |
| 1.8436 | 6.0 | 942 | 1.2936 |
| 1.7033 | 7.0 | 1099 | 1.0691 |
| 1.4103 | 8.0 | 1256 | 0.8708 |
| 1.2267 | 9.0 | 1413 | 0.7359 |
| 1.1845 | 10.0 | 1570 | 0.6333 |
| 1.0321 | 11.0 | 1727 | 0.5510 |
| 0.9554 | 12.0 | 1884 | 0.5251 |
| 0.897 | 13.0 | 2041 | 0.4977 |
| 0.8424 | 14.0 | 2198 | 0.4571 |
| 0.8221 | 15.0 | 2355 | 0.4298 |
| 0.7638 | 16.0 | 2512 | 0.4095 |
| 0.7494 | 17.0 | 2669 | 0.4057 |
| 0.751 | 18.0 | 2826 | 0.3920 |
| 0.7365 | 19.0 | 2983 | 0.3818 |
| 0.7312 | 20.0 | 3140 | 0.3786 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0