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--- |
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license: apache-2.0 |
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base_model: bert-base-cased |
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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: movie-genre-predictions |
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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-predictions |
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6269 |
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- Accuracy: 0.4435 |
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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: 1e-05 |
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- train_batch_size: 128 |
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- eval_batch_size: 32 |
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- seed: 67 |
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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: 8 |
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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 | 290 | 1.6650 | 0.4176 | |
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| 1.7904 | 2.0 | 580 | 1.6128 | 0.4340 | |
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| 1.7904 | 3.0 | 870 | 1.5912 | 0.4438 | |
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| 1.5099 | 4.0 | 1160 | 1.6025 | 0.4418 | |
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| 1.5099 | 5.0 | 1450 | 1.6094 | 0.4469 | |
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| 1.3965 | 6.0 | 1740 | 1.6154 | 0.4447 | |
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| 1.3179 | 7.0 | 2030 | 1.6240 | 0.4430 | |
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| 1.3179 | 8.0 | 2320 | 1.6269 | 0.4435 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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