End of training
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: distilbert-base-uncased
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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-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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4878
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- Model Preparation Time: 0.0018
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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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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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 | Model Preparation Time |
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|:-------------:|:-----:|:----:|:---------------:|:----------------------:|
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| 2.6834 | 1.0 | 157 | 2.4964 | 0.0018 |
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| 2.5833 | 2.0 | 314 | 2.4492 | 0.0018 |
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| 2.5272 | 3.0 | 471 | 2.4812 | 0.0018 |
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### Framework versions
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- Transformers 4.53.2
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- Pytorch 2.6.0+cu124
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- Datasets 4.0.0
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- Tokenizers 0.21.2
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runs/Jul20_19-18-29_fd24e99b070e/events.out.tfevents.1753039200.fd24e99b070e.2514.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:52341b05e271fadb707da7411ccd49a18ccadb909a53f482462e4762a31f3a3b
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size 425
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