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---
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: distilbert-base-uncased
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
This model was trained from scratch on the imdb dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6436
- eval_accuracy: 0.8767
- eval_f1: 0.8795
- eval_super_glue: {'accuracy': 0.8766666666666667}
- eval_runtime: 7.498
- eval_samples_per_second: 40.01
- eval_steps_per_second: 2.534
- step: 0
## 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: 2
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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