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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: bert-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: results |
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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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# results |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an [Kwaai/IMDB_Sentiment](https://huggingface.co/datasets/Kwaai/IMDB_Sentiment) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3875 |
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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: 0.002 |
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- train_batch_size: 32 |
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- eval_batch_size: 16 |
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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: 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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| 0.5455 | 1.0 | 782 | 0.4385 | |
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| 0.4874 | 2.0 | 1564 | 0.4432 | |
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| 0.4862 | 3.0 | 2346 | 0.4612 | |
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| 0.4723 | 4.0 | 3128 | 0.4084 | |
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| 0.4641 | 5.0 | 3910 | 0.4454 | |
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| 0.4655 | 6.0 | 4692 | 0.3979 | |
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| 0.4609 | 7.0 | 5474 | 0.3867 | |
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| 0.4551 | 8.0 | 6256 | 0.3876 | |
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| 0.4546 | 9.0 | 7038 | 0.3835 | |
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| 0.4525 | 10.0 | 7820 | 0.3875 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
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