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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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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 [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: 0.3691 |
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- Micro f1: 0.3798 |
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- Macro f1: 0.0172 |
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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: 3e-05 |
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- train_batch_size: 512 |
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- eval_batch_size: 8 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Micro f1 | Macro f1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| |
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| No log | 1.0 | 4 | 0.6471 | 0.0960 | 0.0322 | |
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| No log | 2.0 | 8 | 0.5902 | 0.2933 | 0.0364 | |
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| No log | 3.0 | 12 | 0.5430 | 0.3700 | 0.0345 | |
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| No log | 4.0 | 16 | 0.5061 | 0.3709 | 0.0307 | |
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| No log | 5.0 | 20 | 0.4765 | 0.3756 | 0.0216 | |
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| No log | 6.0 | 24 | 0.4524 | 0.3748 | 0.0179 | |
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| No log | 7.0 | 28 | 0.4326 | 0.3788 | 0.0173 | |
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| No log | 8.0 | 32 | 0.4160 | 0.3803 | 0.0173 | |
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| No log | 9.0 | 36 | 0.4027 | 0.3798 | 0.0172 | |
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| No log | 10.0 | 40 | 0.3920 | 0.3798 | 0.0172 | |
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| No log | 11.0 | 44 | 0.3836 | 0.3798 | 0.0172 | |
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| No log | 12.0 | 48 | 0.3773 | 0.3798 | 0.0172 | |
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| No log | 13.0 | 52 | 0.3728 | 0.3798 | 0.0172 | |
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| No log | 14.0 | 56 | 0.3701 | 0.3798 | 0.0172 | |
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| No log | 15.0 | 60 | 0.3691 | 0.3798 | 0.0172 | |
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### Framework versions |
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- Transformers 4.24.0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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