metadata
license: mit
library_name: peft
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: roberta-base
model-index:
- name: Roberta_peft_model
results: []
Roberta_peft_model
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2081
- Accuracy: 0.9346
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: 0.00011270038884391928
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2357 | 1.0 | 2105 | 0.1983 | 0.9323 |
| 0.2118 | 2.0 | 4210 | 0.2195 | 0.9278 |
| 0.1939 | 3.0 | 6315 | 0.1972 | 0.9381 |
| 0.1907 | 4.0 | 8420 | 0.2046 | 0.9358 |
| 0.1856 | 5.0 | 10525 | 0.2081 | 0.9346 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2