metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: distilbert-base-uncased
model-index:
- name: distilbert-base-uncased-lora-imdb-sentiment
results: []
distilbert-base-uncased-lora-imdb-sentiment
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6932
- Accuracy: 0.4968
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: 0.001
- 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
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6937 | 1.0 | 7500 | 0.6977 | 0.5032 |
| 0.6952 | 2.0 | 15000 | 0.6931 | 0.5032 |
| 0.6933 | 3.0 | 22500 | 0.6933 | 0.4968 |
| 0.6933 | 4.0 | 30000 | 0.6931 | 0.5032 |
| 0.6932 | 5.0 | 37500 | 0.6931 | 0.5032 |
| 0.6933 | 6.0 | 45000 | 0.6932 | 0.4968 |
| 0.6931 | 7.0 | 52500 | 0.6932 | 0.4968 |
| 0.6933 | 8.0 | 60000 | 0.6931 | 0.5032 |
| 0.6931 | 9.0 | 67500 | 0.6932 | 0.4968 |
| 0.6932 | 10.0 | 75000 | 0.6932 | 0.4968 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.1