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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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model-index:
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- name: distilbert-base-uncased-IMDB_disbert1
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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_disbert1
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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: 2.0461
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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: 4
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- eval_batch_size: 4
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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: 12
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:------:|:---------------:|
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| 2.5838 | 1.0 | 10000 | 2.3985 |
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| 2.4367 | 2.0 | 20000 | 2.3194 |
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| 2.349 | 3.0 | 30000 | 2.2716 |
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| 2.2764 | 4.0 | 40000 | 2.2392 |
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| 2.2169 | 5.0 | 50000 | 2.1972 |
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| 2.1623 | 6.0 | 60000 | 2.1655 |
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| 2.122 | 7.0 | 70000 | 2.1277 |
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| 2.0728 | 8.0 | 80000 | 2.1221 |
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| 2.0348 | 9.0 | 90000 | 2.0928 |
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| 1.9918 | 10.0 | 100000 | 2.0739 |
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| 1.9621 | 11.0 | 110000 | 2.0536 |
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| 1.9394 | 12.0 | 120000 | 2.0461 |
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### Framework versions
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- Transformers 4.21.1
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- Pytorch 1.12.1+cu113
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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