metadata
base_model: DistilBertForSequenceClassification
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: finetuned-imdb
results: []
finetuned-imdb
This model is a fine-tuned version of DistilBertForSequenceClassification on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.4994
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 0.4041 | 1.0 | 625 | 0.2722 |
| 0.2358 | 2.0 | 1250 | 0.3961 |
| 0.1243 | 3.0 | 1875 | 0.4994 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3