metadata
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: roberta-base
model-index:
- name: huth_roberta-base_adalora_lr5e-05_bs4_epoch5_wd0.01
results: []
huth_roberta-base_adalora_lr5e-05_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: 0.1960
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1729 | 1.0 | 2217 | 0.8807 |
| 0.5793 | 2.0 | 4434 | 0.4171 |
| 0.3979 | 3.0 | 6651 | 0.2670 |
| 0.3314 | 4.0 | 8868 | 0.2132 |
| 0.2532 | 5.0 | 11085 | 0.1960 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0