license: apache-2.0 | |
tags: | |
- generated_from_trainer | |
datasets: | |
- imdb | |
model-index: | |
- name: distilbert-base-uncased-finetuned-imdb | |
results: [] | |
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# distilbert-base-uncased-finetuned-imdb | |
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 2.4721 | |
## 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 | |
- mixed_precision_training: Native AMP | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | | |
|:-------------:|:-----:|:----:|:---------------:| | |
| 2.7086 | 1.0 | 157 | 2.4898 | | |
| 2.5796 | 2.0 | 314 | 2.4230 | | |
| 2.5269 | 3.0 | 471 | 2.4354 | | |
### Framework versions | |
- Transformers 4.21.1 | |
- Pytorch 1.12.0+cu113 | |
- Datasets 2.4.0 | |
- Tokenizers 0.12.1 | |