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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- imdb
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model-index:
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- name: distilbert-base-uncased-finetuned-imdb
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# distilbert-base-uncased-finetuned-imdb
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3811
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.7046 | 1.0 | 157 | 2.4782 |
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| 2.5679 | 2.0 | 314 | 2.4108 |
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| 2.5028 | 3.0 | 471 | 2.4121 |
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| 2.4825 | 4.0 | 628 | 2.3589 |
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| 2.4593 | 5.0 | 785 | 2.4074 |
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| 2.4294 | 6.0 | 942 | 2.3742 |
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| 2.4258 | 7.0 | 1099 | 2.3706 |
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| 2.4152 | 8.0 | 1256 | 2.3315 |
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| 2.409 | 9.0 | 1413 | 2.3809 |
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| 2.3908 | 10.0 | 1570 | 2.3394 |
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### Framework versions
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- Transformers 4.20.1
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- Pytorch 1.11.0+cu113
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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