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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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model-index:
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- name: distilbert-base-uncased-IMDB_distilbert
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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-IMDB_distilbert
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6232
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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: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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: 16
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 3.1531 | 1.0 | 1250 | 2.9545 |
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| 2.9251 | 2.0 | 2500 | 2.8577 |
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| 2.7865 | 3.0 | 3750 | 2.8460 |
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| 2.692 | 4.0 | 5000 | 2.7769 |
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| 2.611 | 5.0 | 6250 | 2.8373 |
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| 2.5341 | 6.0 | 7500 | 2.7105 |
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| 2.4887 | 7.0 | 8750 | 2.6864 |
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| 2.4292 | 8.0 | 10000 | 2.6600 |
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| 2.3524 | 9.0 | 11250 | 2.6872 |
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| 2.3217 | 10.0 | 12500 | 2.6527 |
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| 2.2961 | 11.0 | 13750 | 2.6659 |
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| 2.2553 | 12.0 | 15000 | 2.6513 |
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| 2.2066 | 13.0 | 16250 | 2.6443 |
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| 2.1912 | 14.0 | 17500 | 2.5912 |
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| 2.1703 | 15.0 | 18750 | 2.6312 |
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| 2.1715 | 16.0 | 20000 | 2.6232 |
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### Framework versions
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- Transformers 4.21.1
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- Pytorch 1.12.0+cu113
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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