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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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metrics:
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- accuracy
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model-index:
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- name: distilroberta-base-movie-genre-prediction
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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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# distilroberta-base-movie-genre-prediction
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0597
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- Accuracy: 0.3557
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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: 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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 1.7392 | 1.0 | 1350 | 1.7042 | 0.4017 |
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| 1.6085 | 2.0 | 2700 | 1.6785 | 0.4018 |
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| 1.5216 | 3.0 | 4050 | 1.7163 | 0.3945 |
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| 1.4188 | 4.0 | 5400 | 1.7409 | 0.3951 |
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| 1.3398 | 5.0 | 6750 | 1.7966 | 0.3858 |
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| 1.2612 | 6.0 | 8100 | 1.8642 | 0.3801 |
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| 1.1563 | 7.0 | 9450 | 1.9256 | 0.3670 |
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| 1.1113 | 8.0 | 10800 | 1.9928 | 0.3607 |
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| 1.0813 | 9.0 | 12150 | 2.0328 | 0.355 |
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| 1.0329 | 10.0 | 13500 | 2.0597 | 0.3557 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.0
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- Tokenizers 0.13.3
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