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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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base_model: distilbert-base-uncased |
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model-index: |
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- name: movie-genre-prediction_distilbert-base-uncased |
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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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# movie-genre-prediction_distilbert-base-uncased |
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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: 1.5869 |
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- Accuracy: 0.4489 |
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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: 200 |
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- eval_batch_size: 200 |
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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: 7 |
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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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| No log | 1.0 | 163 | 1.6259 | 0.4358 | |
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| No log | 2.0 | 326 | 1.5705 | 0.4478 | |
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| No log | 3.0 | 489 | 1.5566 | 0.4527 | |
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| 1.6342 | 4.0 | 652 | 1.5656 | 0.4537 | |
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| 1.6342 | 5.0 | 815 | 1.5721 | 0.4504 | |
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| 1.6342 | 6.0 | 978 | 1.5825 | 0.4491 | |
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| 1.3404 | 7.0 | 1141 | 1.5869 | 0.4489 | |
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### Framework versions |
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- Transformers 4.24.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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