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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: distilbert-base-uncased-finetuned-imdb
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 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: 2.3811
## 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: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7046 | 1.0 | 157 | 2.4782 |
| 2.5679 | 2.0 | 314 | 2.4108 |
| 2.5028 | 3.0 | 471 | 2.4121 |
| 2.4825 | 4.0 | 628 | 2.3589 |
| 2.4593 | 5.0 | 785 | 2.4074 |
| 2.4294 | 6.0 | 942 | 2.3742 |
| 2.4258 | 7.0 | 1099 | 2.3706 |
| 2.4152 | 8.0 | 1256 | 2.3315 |
| 2.409 | 9.0 | 1413 | 2.3809 |
| 2.3908 | 10.0 | 1570 | 2.3394 |
### Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
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