metadata
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: roberta-base
model-index:
- name: 627_roberta-base_lora_lr0.005_bs4_epoch5_wd0.01
results: []
627_roberta-base_lora_lr0.005_bs4_epoch5_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: 0.0703
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: 0.005
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.4666 | 1.0 | 157 | 0.7542 |
| 0.9259 | 2.0 | 314 | 0.2338 |
| 1.0113 | 3.0 | 471 | 0.4868 |
| 1.6291 | 4.0 | 628 | 0.1931 |
| 1.037 | 5.0 | 785 | 0.0703 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0