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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: rate-jokes-bert |
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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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# rate-jokes-bert |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0871 |
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- F1: 0.0444 |
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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-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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 | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 1.0 | 64 | 2.4209 | 0.0028 | |
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| No log | 2.0 | 128 | 2.3785 | 0.0130 | |
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| No log | 3.0 | 192 | 2.3215 | 0.0729 | |
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| No log | 4.0 | 256 | 2.1787 | 0.0444 | |
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| No log | 5.0 | 320 | 2.1038 | 0.0444 | |
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| No log | 6.0 | 384 | 2.0944 | 0.0444 | |
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| No log | 7.0 | 448 | 2.0911 | 0.0444 | |
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| 2.2915 | 8.0 | 512 | 2.0901 | 0.0444 | |
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| 2.2915 | 9.0 | 576 | 2.0892 | 0.0444 | |
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| 2.2915 | 10.0 | 640 | 2.0871 | 0.0444 | |
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### Framework versions |
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- Transformers 4.31.0.dev0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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