metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distillbert-fineturned-imdb
results: []
distillbert-fineturned-imdb
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: 2.2924
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5335 | 1.0 | 958 | 2.3575 |
| 2.4247 | 2.0 | 1916 | 2.3123 |
| 2.3883 | 3.0 | 2874 | 2.2982 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.2
- Datasets 2.18.0
- Tokenizers 0.15.2