metadata
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-imdb
results: []
library_name: adapter-transformers
pipeline_tag: text-classification
distilbert-base-uncased-finetuned-imdb
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the IMDB dataset. It achieves the following results on the evaluation set:
- Loss: 0.2069
- Accuracy: 0.9257
- F1: 0.9257
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.241 | 1.0 | 1875 | 0.2029 | 0.9268 | 0.9268 |
| 0.1411 | 2.0 | 3750 | 0.2442 | 0.932 | 0.9320 |
| 0.079 | 3.0 | 5625 | 0.2882 | 0.9347 | 0.9347 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1